Sp533

STATE-OF-THE ART: FOUNDATION MODELS FOR GI ENDOSCOPY

Date
May 19, 2024

Presenter

Speaker Image for Dennis Shung
Yale University School of Medicine

Tracks

Related Products

Thumbnail for ENHANCING CLINICAL DECISION SUPPORT WITH LARGE LANGUAGE MODELS: A TAILORED PIPELINE FOR ACCURATE INTERPRETATION OF HEPATITIS C MANAGEMENT GUIDELINES
ENHANCING CLINICAL DECISION SUPPORT WITH LARGE LANGUAGE MODELS: A TAILORED PIPELINE FOR ACCURATE INTERPRETATION OF HEPATITIS C MANAGEMENT GUIDELINES
Large language models (LLMs) can potentially optimize the delivery of relevant information from clinical guidelines to healthcare providers, enhancing guideline adherence and decision-making…
Thumbnail for AUTOMATED IDENTIFICATION OF RECURRENT GASTROINTESTINAL BLEEDING USING ELECTRONIC HEALTH RECORDS AND LARGE LANGUAGE MODELS
AUTOMATED IDENTIFICATION OF RECURRENT GASTROINTESTINAL BLEEDING USING ELECTRONIC HEALTH RECORDS AND LARGE LANGUAGE MODELS
Recurrent gastrointestinal bleeding (GIB) occurs in up to 20% of patients hospitalized with GIB and is a major cause of morbidity and mortality. Early identification of recurrent bleeding may improve patient management and outcomes…
Thumbnail for AI: The Next Frontier in Reshaping Practice
AI: The Next Frontier in Reshaping Practice
AI: WHERE IS THE ROAD TAKING US?
Thumbnail for IDENTIFYING OVERT SIGNS OF ACUTE GASTROINTESTINAL BLEEDING IN THE ELECTRONIC HEALTH RECORD WITH LARGE LANGUAGE MODELS
IDENTIFYING OVERT SIGNS OF ACUTE GASTROINTESTINAL BLEEDING IN THE ELECTRONIC HEALTH RECORD WITH LARGE LANGUAGE MODELS
Early identification of overt signs of GIB (melena, hematochezia, hematemesis) in hospitalized patients may enable expedited evaluation for inpatient endoscopy…