Error loading player: No playable sources found
2165
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 |
Moderators
Columbia University Medical Center
University of Michigan Medical Center
Speakers
Beckman Research Institute, City of Hope Comprehensive Cancer Center
Johns Hopkins Hospital
Tracks
Related Products
A CIRCRNA BASED-LIQUID BIOPSY FOR NONINVASIVE AND EARLY DETECTION OF PATIENTS WITH ESOPHAGEAL SQUAMOUS CELL CARCINOMA
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…
All Things Endoscopy: Esophagus to the Colon!
SOCIETY: AGA
AI: The Next Frontier in Reshaping Practice
AI: WHERE IS THE ROAD TAKING US?
