Loren Laine, MD

2024

• Validation of an Electronic Health Record-Based Machine Learning Model Compared to Clinical Risk Scores for Gastrointestinal Bleeding

  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 to Clinical Risk Scores for Gastrointestinal Bleeding. Gastroenterology 2024 PMID: 38971198, DOI: 10.1053/j.gastro.2024.06.030.

  Peer-Reviewed Original Research

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• Adoption of a gastroenterology hospitalist model and the impact on inpatient endoscopic practice volume: a controlled interrupted time-series analysis

  Shung D, Li D, You K, Hung K, Laine L, Hughes M. Adoption of a gastroenterology hospitalist model and the impact on inpatient endoscopic practice volume: a controlled interrupted time-series analysis. IGIE 2024, 3: 329-332.e2. DOI: 10.1016/j.igie.2024.04.008.

  Peer-Reviewed Original Research

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• Comparison of LA Grades of Erosive Esophagitis Scored by Local Investigators vs Central Adjudicators in a Clinical Trial

  Spechler S, Laine L, DeVault K, Nabulsi A, Hunt B, Katz P. Comparison of LA Grades of Erosive Esophagitis Scored by Local Investigators vs Central Adjudicators in a Clinical Trial. Clinical Gastroenterology And Hepatology 2024 PMID: 38777170, DOI: 10.1016/j.cgh.2024.05.007.

  Peer-Reviewed Original Research

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• VONOPRAZAN IS EFFICACIOUS FOR TREATMENT OF HEARTBURN IN NON-EROSIVE REFLUX DISEASE: A RANDOMIZED TRIAL

  Laine L, Spechler S, Yadlapati R, Schnoll-Sussman F, Smith N, Leifke E, Harris T, Hunt B, Fass R, Katz P. VONOPRAZAN IS EFFICACIOUS FOR TREATMENT OF HEARTBURN IN NON-EROSIVE REFLUX DISEASE: A RANDOMIZED TRIAL. Clinical Gastroenterology And Hepatology 2024 PMID: 38750866, DOI: 10.1016/j.cgh.2024.05.004.

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• Human-Algorithmic Interaction Using a Large Language Model-Augmented Artificial Intelligence Clinical Decision Support System

  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.

  Peer-Reviewed Original Research

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• Mo1066 LARGE LANGUAGE MODEL-BASED SIMULATED PATIENTS WITH UPPER GASTROINTESTINAL BLEEDING FOR MEDICAL EDUCATION – A PILOT STUDY WITH EMPATHGPT

  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.

  Peer-Reviewed Original Research

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• 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

  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.

  Peer-Reviewed Original Research

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• 407 IMPACT OF ARTIFICIAL INTELLIGENCE SYSTEMS FOR UPPER GASTROINTESTINAL BLEEDING ON CLINICIAN TRUST AND LEARNING USING LARGE LANGUAGE MODELS: A RANDOMIZED PILOT SIMULATION STUDY

  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.

  Peer-Reviewed Original Research

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• Tu1649 SIMULATING THE PATIENT-PRACTITIONER RELATIONSHIP IN PATIENTS WITH IRRITABLE BOWEL SYNDROME WITH LARGE LANGUAGE MODELBASED TOOLS – A PROOF OF CONCEPT

  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.

  Peer-Reviewed Original Research

• 543 IDENTIFYING OVERT SIGNS OF ACUTE GASTROINTESTINAL BLEEDING IN THE ELECTRONIC HEALTH RECORD WITH LARGE LANGUAGE MODELS

  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.

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