- Temple Medical Center40 Temple Street, Ste 1ANew Haven, CT 06510
Dennis Shung, MD, MHS, PhD
Internal Medicine, Gastroenterology
Telehealth is available
Patient type treated
Adult
Accepting new patients
Yes
Referral required
Not Applicable
Board Certified in
Internal Medicine, Clinical Informatics
, and Gastroenterology
Biography
Dennis Shung MD, MHS, PhD, is a general gastroenterologist with a particular interest in managing patients with gastrointestinal bleeding.
Gastrointestinal diseases are usually multifactorial, Dr. Shung says, so it is rewarding to work with the patient to get a holistic view into the best way to improve their gastrointestinal health.
“I enjoy listening to patients tell their stories and helping them understand, cope with, and get the right treatment for their gastrointestinal issues,” Dr. Shung says.
In addition to caring for patients, Dr. Shung is director of digital health in digestive diseases for Yale School of Medicine (his MHS is in clinical informatics and his PhD is in investigative medicine), and an assistant professor studying the intersection of clinical big data, informatics, and machine learning, with a focus on helping low-risk patients who are not hospitalized with gastrointestinal bleeding. “I work to empower doctors with tools to give the right care to the right person at the right time,” he says.
Titles
- Assistant Professor of Medicine (Digestive Diseases)
- Director of Digital Health, Digestive Diseases
- Director of Applied Artificial Intelligence, Yale Center for Healthcare Simulation
- Director of Applied Artificial Intelligence, Clinical and Translational Research Accelerator (CTRA)
Education & Training
- PhDYale Graduate School of Arts and Sciences, Investigative Medicine (2022)
- FellowYale School of Medicine (2020)
- MHSYale School of Medicine, Clinical Informatics (2020)
- Resident PhysicianYale-New Haven Hospital (2017)
- MDBaylor College of Medicine (2014)
- BSRice University, Biochemistry & Cell Biology (2010)
- BARice University, Hispanic Studies (2010)
Additional Information
Honors & Recognitions
- Iva Dostanic, MD, PhD, Physician-Scientist Trainee Award: Department of Internal Medicine (2022)
- Research Scholar Award: American Gastroenterological Association (2021)
- Samuel Kushlan MD Award for Excellence in Research: Yale School of Medicine (2020)
- Certificate of Recognition as an Early Career Investigator: American Gastroenterological Association (2019)
- Fellow: The Albert Schweitzer Fellowship (2011)
Board Certifications
- AB of Internal Medicine, Gastroenterology (2023)
- AB of Preventive Medicine, Clinical Informatics (2022)
- AB of Internal Medicine, Internal Medicine (2017)
Professional Service
- Yale New Haven Health System (2024 - Present): Digital AI Advisory Committee
- Yale University (2024 - Present): Faculty Search Committee for the Yale Center for Brain and Mind Health and Yale Department of Biomedical Informatics and Data Science
- National Science Foundation (2024): Reviewer
- Yale School of Medicine (2024 - Present): Artificial Intelligence Working Group for Medical Education
- American Society for Gastrointestinal Endoscopy (2024 - Present): Artificial Intelligence Institute for Gastroenterology
- Coalition for Healthcare Artificial Intelligence (CHAI) (2024 - Present): Generative Artificial Intelligence Work Group, Product Owner for Safety and Reliability
- American Gastroenterological Association (2024 - Present): Lead, AI and Digital Health Taskforce, Center for GI Innovation and Technology
- American Gastroenterological Association (2023 - Present): Center for GI Innovation and Technology
- Gastroenterology (2023 - Present): Associate Editor
- American Gastroenterological Association (2023 - 2024): Artificial Intelligence Task Force
Publications
- Soleymanjahi S, Huebner J, Elmansy L, Rajashekar N, Lüdtke N, Paracha R, Thompson R, Grimshaw A, Foroutan F, Sultan S, Shung D. Artificial Intelligence-Assisted Colonoscopy for Polyp Detection : A Systematic Review and Meta-analysis. Annals Of Internal Medicine 2024 PMID: 39531400, DOI: 10.7326/annals-24-00981.
- Soleymanjahi S, Kolb J, Foroutan F, Sultan S, Shung D. S412 Perceived Advantages and Disadvantages of Adopting Real Time Artificial Intelligence in Colonoscopy by Providers: A Systematic Review. The American Journal Of Gastroenterology 2024, 119: s292-s293. DOI: 10.14309/01.ajg.0001031016.12767.1d.
- Zheng N, Keloth V, You K, Kats D, Li D, Deshpande O, Sachar H, Xu H, Laine L, Shung D. Detection of Gastrointestinal Bleeding with Large Language Models to Aid Quality Improvement and Appropriate Reimbursement. Gastroenterology 2024 PMID: 39304088, DOI: 10.1053/j.gastro.2024.09.014.
- Sehgal K, Shung D. Editorial: Incidence and predictors of major gastrointestinal bleeding in patients on aspirin, low‐dose rivaroxaban or the combination: Secondary analysis of the COMPASS randomised controlled trial. Alimentary Pharmacology & Therapeutics 2024, 60: 961-962. PMID: 39219413, DOI: 10.1111/apt.18195.
- You K, Shung D, Giuffrè M. On the Wasserstein Median of Probability Measures. Journal Of Computational And Graphical Statistics 2024, ahead-of-print: 1-14. DOI: 10.1080/10618600.2024.2374580.
- Silverman A, Shung D, Stidham R, Kochhar G, Iacucci M. How Artificial Intelligence Will Transform Clinical Care, Research, and Trials for Inflammatory Bowel Disease. Clinical Gastroenterology And Hepatology 2024 PMID: 38992406, DOI: 10.1016/j.cgh.2024.05.048.
- Shung D, Chan C, You K, Nakamura S, Saarinen T, Zheng N, Simonov M, Li D, Tsay C, Kawamura Y, Shen M, Hsiao A, Sekhon J, Laine L. Validation of an Electronic Health Record–Based Machine Learning Model Compared With Clinical Risk Scores for Gastrointestinal Bleeding. Gastroenterology 2024, 167: 1198-1212. PMID: 38971198, PMCID: PMC11493512, DOI: 10.1053/j.gastro.2024.06.030.
- Giuffrè M, Kresevic S, You K, Dupont J, Huebner J, Grimshaw A, Shung D. Letter: Shifting focus—From ChatGPT to specialised medical LLMs: Authors' reply. Alimentary Pharmacology & Therapeutics 2024, 60: 417-418. PMID: 38884531, DOI: 10.1111/apt.18125.
- Giuffrè M, Kresevic S, Croce’ S, Shung D. SAT-338-YI Using retrieval augmented generation to increase large language models accuracy: a proof-of-concept pipeline on european hepatitis C virus (HCV) guidelines. Journal Of Hepatology 2024, 80: s731. DOI: 10.1016/s0168-8278(24)02060-9.
- Giuffrè M, Kresevic S, Pugliese N, You K, Shung D. Optimizing large language models in digestive disease: strategies and challenges to improve clinical outcomes. Liver International 2024, 44: 2114-2124. PMID: 38819632, DOI: 10.1111/liv.15974.
- Giuffrè M, Kresevic S, You K, Dupont J, Huebner J, Grimshaw A, Shung D. Systematic review: The use of large language models as medical chatbots in digestive diseases. Alimentary Pharmacology & Therapeutics 2024, 60: 144-166. PMID: 38798194, DOI: 10.1111/apt.18058.
- Rajashekar N, Shin Y, Pu Y, Chung S, You K, Giuffre M, Chan C, Saarinen T, Hsiao A, Sekhon J, Wong A, Evans L, Kizilcec R, Laine L, Mccall T, Shung D. Human-Algorithmic Interaction Using a Large Language Model-Augmented Artificial Intelligence Clinical Decision Support System. 2024, 1-20. DOI: 10.1145/3613904.3642024.
- Zheng N, Keloth V, You K, Li D, Xu H, Laine L, Shung D. 543 IDENTIFYING OVERT SIGNS OF ACUTE GASTROINTESTINAL BLEEDING IN THE ELECTRONIC HEALTH RECORD WITH LARGE LANGUAGE MODELS. Gastroenterology 2024, 166: s-124-s-125. DOI: 10.1016/s0016-5085(24)00776-5.
- Zheng N, Keloth V, You K, Li D, Xu H, Laine L, Shung D. 1244 AUTOMATED IDENTIFICATION OF RECURRENT GASTROINTESTINAL BLEEDING USING ELECTRONIC HEALTH RECORDS AND LARGE LANGUAGE MODELS. Gastroenterology 2024, 166: s-292. DOI: 10.1016/s0016-5085(24)01152-1.
- Kresevic S, Giuffrè M, Shung D. 1059 ENHANCING CLINICAL DECISION SUPPORT WITH LARGE LANGUAGE MODELS: A TAILORED PIPELINE FOR ACCURATE INTERPRETATION OF HEPATITIS C MANAGEMENT GUIDELINES. Gastroenterology 2024, 166: s-1564. DOI: 10.1016/s0016-5085(24)04052-6.
- Soleymanjahi S, Huebner J, Elmansy L, Rajashekar N, Paracha R, Shung D. Tu2029 DOES COMPUTER-AIDED DETECTION (CADE) OFFER ANY ADVANTAGE TO CONVENTIONAL COLONOSCOPY: A COMPREHENSIVE COMPARISON OF EFFICACY AND SAFETY MEASURES? Gastroenterology 2024, 166: s-1499. DOI: 10.1016/s0016-5085(24)03886-1.
- Rajashekar N, Chan C, Deutsch J, Laine L, Shung D. Tu1649 SIMULATING THE PATIENT-PRACTITIONER RELATIONSHIP IN PATIENTS WITH IRRITABLE BOWEL SYNDROME WITH LARGE LANGUAGE MODELBASED TOOLS – A PROOF OF CONCEPT. Gastroenterology 2024, 166: s-1364. DOI: 10.1016/s0016-5085(24)03586-8.
- Chung S, Rajashekar N, Pu Y, Shin Y, Giuffrè M, Chan C, You K, Saarinen T, Hsiao A, Sekhon J, Wong A, Evans L, McCall T, Kizilcec R, Laine L, Shung D. 407 IMPACT OF ARTIFICIAL INTELLIGENCE SYSTEMS FOR UPPER GASTROINTESTINAL BLEEDING ON CLINICIAN TRUST AND LEARNING USING LARGE LANGUAGE MODELS: A RANDOMIZED PILOT SIMULATION STUDY. Gastroenterology 2024, 166: s-95-s-96. DOI: 10.1016/s0016-5085(24)00715-7.
- Soleymanjahi S, Kolb J, Chung S, Foroutan F, Sultan S, Shung D. Tu2010 PROVIDER TRUST TOWARDS ADOPTING REAL TIME ARTIFICIAL INTELLIGENCE IN COLONOSCOPY: A SYSTEMATIC REVIEW. Gastroenterology 2024, 166: s-1490-s-1491. DOI: 10.1016/s0016-5085(24)03867-8.
- Li D, Shung D. The Reply. The American Journal Of Medicine 2024, 137: e99. PMID: 38679450, DOI: 10.1016/j.amjmed.2024.01.017.
- Giuffrè M, You K, Chung S, Kresevic S, Chan C, Saarinen T, Nakamura S, Laine L, Sung J, Garcia-Tsao G, Gralnek I, Barkun A, Sekhon J, Shung D. Su1979 GUTGPT: NOVEL LARGE LANGUAGE MODEL PIPELINE OUTPERFORMS OTHER LARGE LANGUAGE MODELS IN ACCURACY AND SIMILARITY TO INTERNATIONAL EXPERTS FOR GUIDELINE RECOMMENDED MANAGEMENT OF PATIENTS WITH UPPER GASTROINTESTINAL BLEEDING. Gastroenterology 2024, 166: s-889-s-890. DOI: 10.1016/s0016-5085(24)02528-9.
- Rajashekar N, Chan C, Laine L, Shung D. Mo1066 LARGE LANGUAGE MODEL-BASED SIMULATED PATIENTS WITH UPPER GASTROINTESTINAL BLEEDING FOR MEDICAL EDUCATION – A PILOT STUDY WITH EMPATHGPT. Gastroenterology 2024, 166: s-933. DOI: 10.1016/s0016-5085(24)02628-3.
- Soleymanjahi S, Huebner J, Elmansy L, Rajashekar N, Paracha R, Shung D. Tu2034 PERFORMANCE OF DIFFERENT COMPUTER-AIDED DETECTION (CADE) PLATFORMS COMPARED TO CONVENTIONAL COLONOSCOPY: A SYSTEMATIC REVIEW AND META-ANALYSIS. Gastroenterology 2024, 166: s-1501. DOI: 10.1016/s0016-5085(24)03891-5.
- Giuffrè M, Dupont J, Visintin A, Masutti F, Monica F, You K, Shung D, Crocè L. Predicting response to non-selective beta-blockers with liver–spleen stiffness and heart rate in patients with liver cirrhosis and high-risk varices. Hepatology International 2024, 1-12. PMID: 38664292, DOI: 10.1007/s12072-024-10649-7.
- Kresevic S, Giuffrè M, Ajcevic M, Accardo A, Crocè L, Shung D. Optimization of hepatological clinical guidelines interpretation by large language models: a retrieval augmented generation-based framework. Npj Digital Medicine 2024, 7: 102. PMID: 38654102, PMCID: PMC11039454, DOI: 10.1038/s41746-024-01091-y.
- Shung D, Laine L. Review article: Upper gastrointestinal bleeding – review of current evidence and implications for management. Alimentary Pharmacology & Therapeutics 2024, 59: 1062-1081. PMID: 38517201, DOI: 10.1111/apt.17949.
- Giuffrè M, Shung D. Scrutinizing ChatGPT Applications in Gastroenterology: A Call for Methodological Rigor to Define Accuracy and Preserve Privacy. Clinical Gastroenterology And Hepatology 2024, 22: 2156-2157. PMID: 38311148, DOI: 10.1016/j.cgh.2024.01.024.
- Kizilcec R, Shung D, Sung J. Chapter 10 Human-machine interaction: AI-assisted medicine, instead of AI-driven medicine. 2024, 131-140. DOI: 10.1016/b978-0-323-95068-8.00010-8.
- Alur R, Laine L, Li D, Raghavan M, Shah D, Shung DL. Auditing for Human Expertise. Advances in Neural Information Processing Systems 36 (NeurIPS 2023).
- Zheng N, Ma W, Shung D, Strate L, Chan A. Sex, Race, and Ethnicity Differences in Patients Presenting With Diverticular Disease at Emergency Departments in the United States: A National Cross-Sectional Study. Gastro Hep Advances 2023, 3: 178-180. PMID: 39129950, PMCID: PMC11307830, DOI: 10.1016/j.gastha.2023.11.012.
- Shung D, Lin J, Laine L. Achieving Value by Risk Stratification With Machine Learning Model or Clinical Risk Score in Acute Upper Gastrointestinal Bleeding: A Cost Minimization Analysis. The American Journal Of Gastroenterology 2023, 119: 371-373. PMID: 37753930, PMCID: PMC10872988, DOI: 10.14309/ajg.0000000000002520.
- Giuffrè M, You K, Shung D. Evaluating ChatGPT in Medical Contexts: The Imperative to Guard Against Hallucinations and Partial Accuracies. Clinical Gastroenterology And Hepatology 2023, 22: 1145-1146. PMID: 37863408, DOI: 10.1016/j.cgh.2023.09.035.
- Giuffrè M, Shung D. Harnessing the power of synthetic data in healthcare: innovation, application, and privacy. Npj Digital Medicine 2023, 6: 186. PMID: 37813960, PMCID: PMC10562365, DOI: 10.1038/s41746-023-00927-3.
- Kats D, Zheng N, Huebner J, Paracha R, Melo M, DuPont J, Shung D, Li D. S802 Management of Direct Acting Oral Anticoagulants in Hospitalized Patients With Upper Gastrointestinal Bleeding: A Real-World Observational Study. The American Journal Of Gastroenterology 2023, 118: s587-s588. DOI: 10.14309/01.ajg.0000952848.58323.1f.
- Li D, Laine L, Shung D. Trends in Upper Gastrointestinal Bleeding in Patients on Primary Prevention Aspirin: A Nationwide Emergency Department Sample Analysis, 2016-2020. The American Journal Of Medicine 2023, 136: 1179-1186.e1. PMID: 37696350, PMCID: PMC10841721, DOI: 10.1016/j.amjmed.2023.08.010.
- Shung D. From Tool to Team Member: A Second Set of Eyes for Polyp Detection. Annals Of Internal Medicine 2023, 176: 1271-1272. PMID: 37639722, DOI: 10.7326/m23-2022.
- You K, Shung D. On the Spherical Laplace Distribution. 2023, 00: 1-8. DOI: 10.23919/fusion52260.2023.10224108.
- Huebner J, Chung S, Kizilcec R, Laine L, Shung D. Tu1975 PROVIDER TRUST AND PERCEIVED USEFULNESS OF MACHIINE LEARNING RISK STRATIFICATION TOOL FOR ACUTE UPPER GASTROINTESTINAL BLEEDING USING THE TECHNOLOGY ACCEPTANCE MODEL: A PILOT STUDY. Gastroenterology 2023, 164: s-1168-s-1169. DOI: 10.1016/s0016-5085(23)03693-4.
- Soleymanjahi S, Elmansy L, Rajashekar N, Mahmoudi-Rouhani R, Shung D. Tu1989 PERFORMANCE OF ARTIFICIAL INTELLIGENCE ASSISTED COLONOSCOPY VS CONVENTIONAL COLONOSCOPY: A SYSTEMATIC REVIEW AND META-ANALYSIS. Gastroenterology 2023, 164: s-1176-s-1177. DOI: 10.1016/s0016-5085(23)03707-1.
- You K, Shung D. Rdimtools: An R package for dimension reduction and intrinsic dimension estimation. Software Impacts 2022, 14: 100414. DOI: 10.1016/j.simpa.2022.100414.
- Lam T, Cheung F, Munro Y, Lim K, Shung D, Sung J. Su1001: ARTIFICIAL INTELLIGENCE ASSISTED DIAGNOSIS HAS MORE EVIDENCE TO IMPROVE GI OUTCOME THAN OTHER SPECIALTIES: AN ANALYSIS OF RCT FROM 2009-2021. Gastroenterology 2022, 162: s-473-s-474. DOI: 10.1016/s0016-5085(22)61128-4.
- Tong A, Huguet G, Shung D, Natik A, Kuchroo M, Lajoie G, Wolf G, Krishnaswamy S. Embedding Signals on Graphs with Unbalanced Diffusion Earth Mover’s Distance. 2013 IEEE International Conference On Acoustics, Speech And Signal Processing 2022, 00: 5647-5651. PMID: 36628172, PMCID: PMC9828741, DOI: 10.1109/icassp43922.2022.9746556.
- Gerasimiuk M, Shung D, Tong A, Stanley A, Schultz M, Ngu J, Laine L, Wolf G, Krishnaswamy S. MURAL: An Unsupervised Random Forest-Based Embedding for Electronic Health Record Data. 2021, 00: 4694-4704. DOI: 10.1109/bigdata52589.2021.9672045.
- Shung D, Huang J, Castro E, Tay JK, Simonov M, Laine L, Batra R, Krishnaswamy S. Neural network predicts need for red blood cell transfusion for patients with acute gastrointestinal bleeding admitted to the intensive care unit. Scientific Reports 2021, 11: 8827. PMID: 33893364, PMCID: PMC8065139, DOI: 10.1038/s41598-021-88226-3.
- Shen L, Kann BH, Taylor RA, Shung DL. The Clinician's Guide to the Machine Learning Galaxy. Frontiers In Physiology 2021, 12: 658583. PMID: 33889088, PMCID: PMC8056037, DOI: 10.3389/fphys.2021.658583.
- Shung DL. Advancing care for acute gastrointestinal bleeding using artificial intelligence. Journal Of Gastroenterology And Hepatology 2021, 36: 273-278. PMID: 33624892, DOI: 10.1111/jgh.15372.
- Shung DL, Sung JJY. Challenges of developing artificial intelligence‐assisted tools for clinical medicine. Journal Of Gastroenterology And Hepatology 2021, 36: 295-298. PMID: 33624889, DOI: 10.1111/jgh.15378.
- Shung D, Tsay C, Laine L, Chang D, Li F, Thomas P, Partridge C, Simonov M, Hsiao A, Tay JK, Taylor A. Early identification of patients with acute gastrointestinal bleeding using natural language processing and decision rules. Journal Of Gastroenterology And Hepatology 2021, 36: 1590-1597. PMID: 33105045, DOI: 10.1111/jgh.15313.
- Shung D, Laine L. Machine Learning Prognostic Models for Gastrointestinal Bleeding Using Electronic Health Record Data. The American Journal Of Gastroenterology 2020, 115: 1199-1200. PMID: 32530828, PMCID: PMC7415736, DOI: 10.14309/ajg.0000000000000720.
- Shung DL, Byrne MF. How Artificial Intelligence Will Impact Colonoscopy and Colorectal Screening. Gastrointestinal Endoscopy Clinics Of North America 2020, 30: 585-595. PMID: 32439090, DOI: 10.1016/j.giec.2020.02.010.
- Tsay C, Shung D, Stemmer Frumento K, Laine L. Early Colonoscopy Does Not Improve Outcomes of Patients With Lower Gastrointestinal Bleeding: Systematic Review of Randomized Trials. Clinical Gastroenterology And Hepatology 2019, 18: 1696-1703.e2. PMID: 31843595, PMCID: PMC7292779, DOI: 10.1016/j.cgh.2019.11.061.
- Shung DL, Au B, Taylor RA, Tay JK, Laursen SB, Stanley AJ, Dalton HR, Ngu J, Schultz M, Laine L. Validation of a Machine Learning Model That Outperforms Clinical Risk Scoring Systems for Upper Gastrointestinal Bleeding. Gastroenterology 2019, 158: 160-167. PMID: 31562847, PMCID: PMC7004228, DOI: 10.1053/j.gastro.2019.09.009.
- Shung D, Simonov M, Gentry M, Au B, Laine L. Machine Learning to Predict Outcomes in Patients with Acute Gastrointestinal Bleeding: A Systematic Review. Digestive Diseases And Sciences 2019, 64: 2078-2087. PMID: 31055722, DOI: 10.1007/s10620-019-05645-z.
- Liver Disease: A Clinical CasebookISBN 978-3-319-98505-3
- Shung D, Lim J. Drug-Induced Liver Injury. 2018, 1-10. DOI: 10.1007/978-3-319-98506-0_1.
- Shung DL, Garcia‐Tsao G. Liver Capsule: Portal Hypertension and Varices: Pathogenesis, Stages, and Management. Hepatology 2017, 65: 1038-1038. PMID: 28032650, DOI: 10.1002/hep.29026.
- Shung D, Lin J, Chou A, Heberlig S, Medford-Davis L, Siler-Fisher A. 42 Impact of a Novel Volunteer-Run Discharge Planning Program on Follow-Up Appointment Adherence. Annals Of Emergency Medicine 2015, 66: s14. DOI: 10.1016/j.annemergmed.2015.07.071.
- Unlocking Secrets of Inflammatory Bowel DiseaseShung DL and Allen JI. Science & Diplomacy, Vol. 4, No. 4 December 2015 http://www.sciencediplomacy.org/perspective/2015/unlocking-secrets-of-inflammatory-bowel- disease
- Medical and Surgical Complications of Inflammatory Bowel Disease in the Elderly: A Systematic ReviewShung DL, Abraham B, Sellin J, Hou JK. Medical and Surgical Complications of Inflammatory Bowel Disease in the Elderly: A Systematic Review. Digestive Diseases And Sciences 2014, 60: 1132-1140. PMID: 25501923, DOI: 10.1007/s10620-014-3462-2.
Departments and Programs
Locations
- Temple Medical Center40 Temple Street, Ste 1ANew Haven, CT 06510
Biography
Dennis Shung MD, MHS, PhD, is a general gastroenterologist with a particular interest in managing patients with gastrointestinal bleeding.
Gastrointestinal diseases are usually multifactorial, Dr. Shung says, so it is rewarding to work with the patient to get a holistic view into the best way to improve their gastrointestinal health.
“I enjoy listening to patients tell their stories and helping them understand, cope with, and get the right treatment for their gastrointestinal issues,” Dr. Shung says.
In addition to caring for patients, Dr. Shung is director of digital health in digestive diseases for Yale School of Medicine (his MHS is in clinical informatics and his PhD is in investigative medicine), and an assistant professor studying the intersection of clinical big data, informatics, and machine learning, with a focus on helping low-risk patients who are not hospitalized with gastrointestinal bleeding. “I work to empower doctors with tools to give the right care to the right person at the right time,” he says.
Titles
- Assistant Professor of Medicine (Digestive Diseases)
- Director of Digital Health, Digestive Diseases
- Director of Applied Artificial Intelligence, Yale Center for Healthcare Simulation
- Director of Applied Artificial Intelligence, Clinical and Translational Research Accelerator (CTRA)
Education & Training
- PhDYale Graduate School of Arts and Sciences, Investigative Medicine (2022)
- FellowYale School of Medicine (2020)
- MHSYale School of Medicine, Clinical Informatics (2020)
- Resident PhysicianYale-New Haven Hospital (2017)
- MDBaylor College of Medicine (2014)
- BSRice University, Biochemistry & Cell Biology (2010)
- BARice University, Hispanic Studies (2010)
Additional Information
Honors & Recognitions
- Iva Dostanic, MD, PhD, Physician-Scientist Trainee Award: Department of Internal Medicine (2022)
- Research Scholar Award: American Gastroenterological Association (2021)
- Samuel Kushlan MD Award for Excellence in Research: Yale School of Medicine (2020)
- Certificate of Recognition as an Early Career Investigator: American Gastroenterological Association (2019)
- Fellow: The Albert Schweitzer Fellowship (2011)
Board Certifications
- AB of Internal Medicine, Gastroenterology (2023)
- AB of Preventive Medicine, Clinical Informatics (2022)
- AB of Internal Medicine, Internal Medicine (2017)
Professional Service
- Yale New Haven Health System (2024 - Present): Digital AI Advisory Committee
- Yale University (2024 - Present): Faculty Search Committee for the Yale Center for Brain and Mind Health and Yale Department of Biomedical Informatics and Data Science
- National Science Foundation (2024): Reviewer
- Yale School of Medicine (2024 - Present): Artificial Intelligence Working Group for Medical Education
- American Society for Gastrointestinal Endoscopy (2024 - Present): Artificial Intelligence Institute for Gastroenterology
- Coalition for Healthcare Artificial Intelligence (CHAI) (2024 - Present): Generative Artificial Intelligence Work Group, Product Owner for Safety and Reliability
- American Gastroenterological Association (2024 - Present): Lead, AI and Digital Health Taskforce, Center for GI Innovation and Technology
- American Gastroenterological Association (2023 - Present): Center for GI Innovation and Technology
- Gastroenterology (2023 - Present): Associate Editor
- American Gastroenterological Association (2023 - 2024): Artificial Intelligence Task Force
Publications
- Soleymanjahi S, Huebner J, Elmansy L, Rajashekar N, Lüdtke N, Paracha R, Thompson R, Grimshaw A, Foroutan F, Sultan S, Shung D. Artificial Intelligence-Assisted Colonoscopy for Polyp Detection : A Systematic Review and Meta-analysis. Annals Of Internal Medicine 2024 PMID: 39531400, DOI: 10.7326/annals-24-00981.
- Soleymanjahi S, Kolb J, Foroutan F, Sultan S, Shung D. S412 Perceived Advantages and Disadvantages of Adopting Real Time Artificial Intelligence in Colonoscopy by Providers: A Systematic Review. The American Journal Of Gastroenterology 2024, 119: s292-s293. DOI: 10.14309/01.ajg.0001031016.12767.1d.
- Zheng N, Keloth V, You K, Kats D, Li D, Deshpande O, Sachar H, Xu H, Laine L, Shung D. Detection of Gastrointestinal Bleeding with Large Language Models to Aid Quality Improvement and Appropriate Reimbursement. Gastroenterology 2024 PMID: 39304088, DOI: 10.1053/j.gastro.2024.09.014.
- Sehgal K, Shung D. Editorial: Incidence and predictors of major gastrointestinal bleeding in patients on aspirin, low‐dose rivaroxaban or the combination: Secondary analysis of the COMPASS randomised controlled trial. Alimentary Pharmacology & Therapeutics 2024, 60: 961-962. PMID: 39219413, DOI: 10.1111/apt.18195.
- You K, Shung D, Giuffrè M. On the Wasserstein Median of Probability Measures. Journal Of Computational And Graphical Statistics 2024, ahead-of-print: 1-14. DOI: 10.1080/10618600.2024.2374580.
- Silverman A, Shung D, Stidham R, Kochhar G, Iacucci M. How Artificial Intelligence Will Transform Clinical Care, Research, and Trials for Inflammatory Bowel Disease. Clinical Gastroenterology And Hepatology 2024 PMID: 38992406, DOI: 10.1016/j.cgh.2024.05.048.
- Shung D, Chan C, You K, Nakamura S, Saarinen T, Zheng N, Simonov M, Li D, Tsay C, Kawamura Y, Shen M, Hsiao A, Sekhon J, Laine L. Validation of an Electronic Health Record–Based Machine Learning Model Compared With Clinical Risk Scores for Gastrointestinal Bleeding. Gastroenterology 2024, 167: 1198-1212. PMID: 38971198, PMCID: PMC11493512, DOI: 10.1053/j.gastro.2024.06.030.
- Giuffrè M, Kresevic S, You K, Dupont J, Huebner J, Grimshaw A, Shung D. Letter: Shifting focus—From ChatGPT to specialised medical LLMs: Authors' reply. Alimentary Pharmacology & Therapeutics 2024, 60: 417-418. PMID: 38884531, DOI: 10.1111/apt.18125.
- Giuffrè M, Kresevic S, Croce’ S, Shung D. SAT-338-YI Using retrieval augmented generation to increase large language models accuracy: a proof-of-concept pipeline on european hepatitis C virus (HCV) guidelines. Journal Of Hepatology 2024, 80: s731. DOI: 10.1016/s0168-8278(24)02060-9.
- Giuffrè M, Kresevic S, Pugliese N, You K, Shung D. Optimizing large language models in digestive disease: strategies and challenges to improve clinical outcomes. Liver International 2024, 44: 2114-2124. PMID: 38819632, DOI: 10.1111/liv.15974.
- Giuffrè M, Kresevic S, You K, Dupont J, Huebner J, Grimshaw A, Shung D. Systematic review: The use of large language models as medical chatbots in digestive diseases. Alimentary Pharmacology & Therapeutics 2024, 60: 144-166. PMID: 38798194, DOI: 10.1111/apt.18058.
- Rajashekar N, Shin Y, Pu Y, Chung S, You K, Giuffre M, Chan C, Saarinen T, Hsiao A, Sekhon J, Wong A, Evans L, Kizilcec R, Laine L, Mccall T, Shung D. Human-Algorithmic Interaction Using a Large Language Model-Augmented Artificial Intelligence Clinical Decision Support System. 2024, 1-20. DOI: 10.1145/3613904.3642024.
- Zheng N, Keloth V, You K, Li D, Xu H, Laine L, Shung D. 543 IDENTIFYING OVERT SIGNS OF ACUTE GASTROINTESTINAL BLEEDING IN THE ELECTRONIC HEALTH RECORD WITH LARGE LANGUAGE MODELS. Gastroenterology 2024, 166: s-124-s-125. DOI: 10.1016/s0016-5085(24)00776-5.
- Zheng N, Keloth V, You K, Li D, Xu H, Laine L, Shung D. 1244 AUTOMATED IDENTIFICATION OF RECURRENT GASTROINTESTINAL BLEEDING USING ELECTRONIC HEALTH RECORDS AND LARGE LANGUAGE MODELS. Gastroenterology 2024, 166: s-292. DOI: 10.1016/s0016-5085(24)01152-1.
- Kresevic S, Giuffrè M, Shung D. 1059 ENHANCING CLINICAL DECISION SUPPORT WITH LARGE LANGUAGE MODELS: A TAILORED PIPELINE FOR ACCURATE INTERPRETATION OF HEPATITIS C MANAGEMENT GUIDELINES. Gastroenterology 2024, 166: s-1564. DOI: 10.1016/s0016-5085(24)04052-6.
- Soleymanjahi S, Huebner J, Elmansy L, Rajashekar N, Paracha R, Shung D. Tu2029 DOES COMPUTER-AIDED DETECTION (CADE) OFFER ANY ADVANTAGE TO CONVENTIONAL COLONOSCOPY: A COMPREHENSIVE COMPARISON OF EFFICACY AND SAFETY MEASURES? Gastroenterology 2024, 166: s-1499. DOI: 10.1016/s0016-5085(24)03886-1.
- Rajashekar N, Chan C, Deutsch J, Laine L, Shung D. Tu1649 SIMULATING THE PATIENT-PRACTITIONER RELATIONSHIP IN PATIENTS WITH IRRITABLE BOWEL SYNDROME WITH LARGE LANGUAGE MODELBASED TOOLS – A PROOF OF CONCEPT. Gastroenterology 2024, 166: s-1364. DOI: 10.1016/s0016-5085(24)03586-8.
- Chung S, Rajashekar N, Pu Y, Shin Y, Giuffrè M, Chan C, You K, Saarinen T, Hsiao A, Sekhon J, Wong A, Evans L, McCall T, Kizilcec R, Laine L, Shung D. 407 IMPACT OF ARTIFICIAL INTELLIGENCE SYSTEMS FOR UPPER GASTROINTESTINAL BLEEDING ON CLINICIAN TRUST AND LEARNING USING LARGE LANGUAGE MODELS: A RANDOMIZED PILOT SIMULATION STUDY. Gastroenterology 2024, 166: s-95-s-96. DOI: 10.1016/s0016-5085(24)00715-7.
- Soleymanjahi S, Kolb J, Chung S, Foroutan F, Sultan S, Shung D. Tu2010 PROVIDER TRUST TOWARDS ADOPTING REAL TIME ARTIFICIAL INTELLIGENCE IN COLONOSCOPY: A SYSTEMATIC REVIEW. Gastroenterology 2024, 166: s-1490-s-1491. DOI: 10.1016/s0016-5085(24)03867-8.
- Li D, Shung D. The Reply. The American Journal Of Medicine 2024, 137: e99. PMID: 38679450, DOI: 10.1016/j.amjmed.2024.01.017.
- Giuffrè M, You K, Chung S, Kresevic S, Chan C, Saarinen T, Nakamura S, Laine L, Sung J, Garcia-Tsao G, Gralnek I, Barkun A, Sekhon J, Shung D. Su1979 GUTGPT: NOVEL LARGE LANGUAGE MODEL PIPELINE OUTPERFORMS OTHER LARGE LANGUAGE MODELS IN ACCURACY AND SIMILARITY TO INTERNATIONAL EXPERTS FOR GUIDELINE RECOMMENDED MANAGEMENT OF PATIENTS WITH UPPER GASTROINTESTINAL BLEEDING. Gastroenterology 2024, 166: s-889-s-890. DOI: 10.1016/s0016-5085(24)02528-9.
- Rajashekar N, Chan C, Laine L, Shung D. Mo1066 LARGE LANGUAGE MODEL-BASED SIMULATED PATIENTS WITH UPPER GASTROINTESTINAL BLEEDING FOR MEDICAL EDUCATION – A PILOT STUDY WITH EMPATHGPT. Gastroenterology 2024, 166: s-933. DOI: 10.1016/s0016-5085(24)02628-3.
- Soleymanjahi S, Huebner J, Elmansy L, Rajashekar N, Paracha R, Shung D. Tu2034 PERFORMANCE OF DIFFERENT COMPUTER-AIDED DETECTION (CADE) PLATFORMS COMPARED TO CONVENTIONAL COLONOSCOPY: A SYSTEMATIC REVIEW AND META-ANALYSIS. Gastroenterology 2024, 166: s-1501. DOI: 10.1016/s0016-5085(24)03891-5.
- Giuffrè M, Dupont J, Visintin A, Masutti F, Monica F, You K, Shung D, Crocè L. Predicting response to non-selective beta-blockers with liver–spleen stiffness and heart rate in patients with liver cirrhosis and high-risk varices. Hepatology International 2024, 1-12. PMID: 38664292, DOI: 10.1007/s12072-024-10649-7.
- Kresevic S, Giuffrè M, Ajcevic M, Accardo A, Crocè L, Shung D. Optimization of hepatological clinical guidelines interpretation by large language models: a retrieval augmented generation-based framework. Npj Digital Medicine 2024, 7: 102. PMID: 38654102, PMCID: PMC11039454, DOI: 10.1038/s41746-024-01091-y.
- Shung D, Laine L. Review article: Upper gastrointestinal bleeding – review of current evidence and implications for management. Alimentary Pharmacology & Therapeutics 2024, 59: 1062-1081. PMID: 38517201, DOI: 10.1111/apt.17949.
- Giuffrè M, Shung D. Scrutinizing ChatGPT Applications in Gastroenterology: A Call for Methodological Rigor to Define Accuracy and Preserve Privacy. Clinical Gastroenterology And Hepatology 2024, 22: 2156-2157. PMID: 38311148, DOI: 10.1016/j.cgh.2024.01.024.
- Kizilcec R, Shung D, Sung J. Chapter 10 Human-machine interaction: AI-assisted medicine, instead of AI-driven medicine. 2024, 131-140. DOI: 10.1016/b978-0-323-95068-8.00010-8.
- Alur R, Laine L, Li D, Raghavan M, Shah D, Shung DL. Auditing for Human Expertise. Advances in Neural Information Processing Systems 36 (NeurIPS 2023).
- Zheng N, Ma W, Shung D, Strate L, Chan A. Sex, Race, and Ethnicity Differences in Patients Presenting With Diverticular Disease at Emergency Departments in the United States: A National Cross-Sectional Study. Gastro Hep Advances 2023, 3: 178-180. PMID: 39129950, PMCID: PMC11307830, DOI: 10.1016/j.gastha.2023.11.012.
- Shung D, Lin J, Laine L. Achieving Value by Risk Stratification With Machine Learning Model or Clinical Risk Score in Acute Upper Gastrointestinal Bleeding: A Cost Minimization Analysis. The American Journal Of Gastroenterology 2023, 119: 371-373. PMID: 37753930, PMCID: PMC10872988, DOI: 10.14309/ajg.0000000000002520.
- Giuffrè M, You K, Shung D. Evaluating ChatGPT in Medical Contexts: The Imperative to Guard Against Hallucinations and Partial Accuracies. Clinical Gastroenterology And Hepatology 2023, 22: 1145-1146. PMID: 37863408, DOI: 10.1016/j.cgh.2023.09.035.
- Giuffrè M, Shung D. Harnessing the power of synthetic data in healthcare: innovation, application, and privacy. Npj Digital Medicine 2023, 6: 186. PMID: 37813960, PMCID: PMC10562365, DOI: 10.1038/s41746-023-00927-3.
- Kats D, Zheng N, Huebner J, Paracha R, Melo M, DuPont J, Shung D, Li D. S802 Management of Direct Acting Oral Anticoagulants in Hospitalized Patients With Upper Gastrointestinal Bleeding: A Real-World Observational Study. The American Journal Of Gastroenterology 2023, 118: s587-s588. DOI: 10.14309/01.ajg.0000952848.58323.1f.
- Li D, Laine L, Shung D. Trends in Upper Gastrointestinal Bleeding in Patients on Primary Prevention Aspirin: A Nationwide Emergency Department Sample Analysis, 2016-2020. The American Journal Of Medicine 2023, 136: 1179-1186.e1. PMID: 37696350, PMCID: PMC10841721, DOI: 10.1016/j.amjmed.2023.08.010.
- Shung D. From Tool to Team Member: A Second Set of Eyes for Polyp Detection. Annals Of Internal Medicine 2023, 176: 1271-1272. PMID: 37639722, DOI: 10.7326/m23-2022.
- You K, Shung D. On the Spherical Laplace Distribution. 2023, 00: 1-8. DOI: 10.23919/fusion52260.2023.10224108.
- Huebner J, Chung S, Kizilcec R, Laine L, Shung D. Tu1975 PROVIDER TRUST AND PERCEIVED USEFULNESS OF MACHIINE LEARNING RISK STRATIFICATION TOOL FOR ACUTE UPPER GASTROINTESTINAL BLEEDING USING THE TECHNOLOGY ACCEPTANCE MODEL: A PILOT STUDY. Gastroenterology 2023, 164: s-1168-s-1169. DOI: 10.1016/s0016-5085(23)03693-4.
- Soleymanjahi S, Elmansy L, Rajashekar N, Mahmoudi-Rouhani R, Shung D. Tu1989 PERFORMANCE OF ARTIFICIAL INTELLIGENCE ASSISTED COLONOSCOPY VS CONVENTIONAL COLONOSCOPY: A SYSTEMATIC REVIEW AND META-ANALYSIS. Gastroenterology 2023, 164: s-1176-s-1177. DOI: 10.1016/s0016-5085(23)03707-1.
- You K, Shung D. Rdimtools: An R package for dimension reduction and intrinsic dimension estimation. Software Impacts 2022, 14: 100414. DOI: 10.1016/j.simpa.2022.100414.
- Lam T, Cheung F, Munro Y, Lim K, Shung D, Sung J. Su1001: ARTIFICIAL INTELLIGENCE ASSISTED DIAGNOSIS HAS MORE EVIDENCE TO IMPROVE GI OUTCOME THAN OTHER SPECIALTIES: AN ANALYSIS OF RCT FROM 2009-2021. Gastroenterology 2022, 162: s-473-s-474. DOI: 10.1016/s0016-5085(22)61128-4.
- Tong A, Huguet G, Shung D, Natik A, Kuchroo M, Lajoie G, Wolf G, Krishnaswamy S. Embedding Signals on Graphs with Unbalanced Diffusion Earth Mover’s Distance. 2013 IEEE International Conference On Acoustics, Speech And Signal Processing 2022, 00: 5647-5651. PMID: 36628172, PMCID: PMC9828741, DOI: 10.1109/icassp43922.2022.9746556.
- Gerasimiuk M, Shung D, Tong A, Stanley A, Schultz M, Ngu J, Laine L, Wolf G, Krishnaswamy S. MURAL: An Unsupervised Random Forest-Based Embedding for Electronic Health Record Data. 2021, 00: 4694-4704. DOI: 10.1109/bigdata52589.2021.9672045.
- Shung D, Huang J, Castro E, Tay JK, Simonov M, Laine L, Batra R, Krishnaswamy S. Neural network predicts need for red blood cell transfusion for patients with acute gastrointestinal bleeding admitted to the intensive care unit. Scientific Reports 2021, 11: 8827. PMID: 33893364, PMCID: PMC8065139, DOI: 10.1038/s41598-021-88226-3.
- Shen L, Kann BH, Taylor RA, Shung DL. The Clinician's Guide to the Machine Learning Galaxy. Frontiers In Physiology 2021, 12: 658583. PMID: 33889088, PMCID: PMC8056037, DOI: 10.3389/fphys.2021.658583.
- Shung DL. Advancing care for acute gastrointestinal bleeding using artificial intelligence. Journal Of Gastroenterology And Hepatology 2021, 36: 273-278. PMID: 33624892, DOI: 10.1111/jgh.15372.
- Shung DL, Sung JJY. Challenges of developing artificial intelligence‐assisted tools for clinical medicine. Journal Of Gastroenterology And Hepatology 2021, 36: 295-298. PMID: 33624889, DOI: 10.1111/jgh.15378.
- Shung D, Tsay C, Laine L, Chang D, Li F, Thomas P, Partridge C, Simonov M, Hsiao A, Tay JK, Taylor A. Early identification of patients with acute gastrointestinal bleeding using natural language processing and decision rules. Journal Of Gastroenterology And Hepatology 2021, 36: 1590-1597. PMID: 33105045, DOI: 10.1111/jgh.15313.
- Shung D, Laine L. Machine Learning Prognostic Models for Gastrointestinal Bleeding Using Electronic Health Record Data. The American Journal Of Gastroenterology 2020, 115: 1199-1200. PMID: 32530828, PMCID: PMC7415736, DOI: 10.14309/ajg.0000000000000720.
- Shung DL, Byrne MF. How Artificial Intelligence Will Impact Colonoscopy and Colorectal Screening. Gastrointestinal Endoscopy Clinics Of North America 2020, 30: 585-595. PMID: 32439090, DOI: 10.1016/j.giec.2020.02.010.
- Tsay C, Shung D, Stemmer Frumento K, Laine L. Early Colonoscopy Does Not Improve Outcomes of Patients With Lower Gastrointestinal Bleeding: Systematic Review of Randomized Trials. Clinical Gastroenterology And Hepatology 2019, 18: 1696-1703.e2. PMID: 31843595, PMCID: PMC7292779, DOI: 10.1016/j.cgh.2019.11.061.
- Shung DL, Au B, Taylor RA, Tay JK, Laursen SB, Stanley AJ, Dalton HR, Ngu J, Schultz M, Laine L. Validation of a Machine Learning Model That Outperforms Clinical Risk Scoring Systems for Upper Gastrointestinal Bleeding. Gastroenterology 2019, 158: 160-167. PMID: 31562847, PMCID: PMC7004228, DOI: 10.1053/j.gastro.2019.09.009.
- Shung D, Simonov M, Gentry M, Au B, Laine L. Machine Learning to Predict Outcomes in Patients with Acute Gastrointestinal Bleeding: A Systematic Review. Digestive Diseases And Sciences 2019, 64: 2078-2087. PMID: 31055722, DOI: 10.1007/s10620-019-05645-z.
- Liver Disease: A Clinical CasebookISBN 978-3-319-98505-3
- Shung D, Lim J. Drug-Induced Liver Injury. 2018, 1-10. DOI: 10.1007/978-3-319-98506-0_1.
- Shung DL, Garcia‐Tsao G. Liver Capsule: Portal Hypertension and Varices: Pathogenesis, Stages, and Management. Hepatology 2017, 65: 1038-1038. PMID: 28032650, DOI: 10.1002/hep.29026.
- Shung D, Lin J, Chou A, Heberlig S, Medford-Davis L, Siler-Fisher A. 42 Impact of a Novel Volunteer-Run Discharge Planning Program on Follow-Up Appointment Adherence. Annals Of Emergency Medicine 2015, 66: s14. DOI: 10.1016/j.annemergmed.2015.07.071.
- Unlocking Secrets of Inflammatory Bowel DiseaseShung DL and Allen JI. Science & Diplomacy, Vol. 4, No. 4 December 2015 http://www.sciencediplomacy.org/perspective/2015/unlocking-secrets-of-inflammatory-bowel- disease
- Medical and Surgical Complications of Inflammatory Bowel Disease in the Elderly: A Systematic ReviewShung DL, Abraham B, Sellin J, Hou JK. Medical and Surgical Complications of Inflammatory Bowel Disease in the Elderly: A Systematic Review. Digestive Diseases And Sciences 2014, 60: 1132-1140. PMID: 25501923, DOI: 10.1007/s10620-014-3462-2.
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- Temple Medical Center40 Temple Street, Ste 1ANew Haven, CT 06510