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Artificial Intelligence in GI Cancer Screening and Therapeutics
Date
May 18, 2024
SOCIETY: AGA Join this session to review current and future applications for AI in assessing GI cancer risk, and guiding cancer screening and cancer therapeutics in research and clinical care settings.
Presentations:
AI & MACHINE LEARNING PRIMER IN GI CANCER
AI IN ENDOSCOPY FOR SCREENING AND SURVEILLANCE
MACHINE LEARNING APPLICATIONS FOR GI CANCER BIOMARKER DISCOVERY
MACHINE LEARNING ANALYSIS OF ENDOSCOPIC ULTRASONOGRAPHY TEXTURE AND CLINICAL INFORMATION PREDICTS PANCREATIC NEOPLASTIC PROGRESSION IN HIGH-RISK INDIVIDUALS WITHIN 18 MONTHS
A CIRCRNA BASED-LIQUID BIOPSY FOR NONINVASIVE AND EARLY DETECTION OF PATIENTS WITH ESOPHAGEAL SQUAMOUS CELL CARCINOMA
USE OF DEEP LEARNING TO EVALUATE TUMOR MORPHOLOGICAL FEATURES FOR PREDICTION OF COLON CANCER RECURRENCE
Background: Esophageal cancer incidence and mortality are projected to increase by 58.4% and 61.8% by the end of 2040, making esophageal squamous cell carcinoma (ESCC) – the most common subtype a significant public health threat…
THE CLINICAL IMPACT AND COST-EFFECTIVENESS OF DIAGNOSTIC MODALITIES FOR INDETERMINATE BILIARY STRICTURES, INCLUDING NEXT-GENERATION SEQUENCING AND ARTIFICIAL INTELLIGENCE: A MICROSIMULATION ANALYSIS