Watch this session to review current and future applications for artificial intelligence (AI) in assessing GI cancer risk, and guiding cancer screening and cancer therapeutics in research and clinical care settings.
Learning objectives:
Identify strategies for using AI to reduce morbidity and mortality from GI cancers:
- 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:
Julian Abrams, MD
Professor of Medicine and Epidemiology
Director of Clinical Research
Division of Digestive and Liver Diseases.
Columbia University Medical Center (CUMC)
Ryan Stidham, MD, MS, AGAF
Associate Professor
Michigan Medcine
University of Michigan
Speakers:
Dennis Shung, MD, PhD
Assistant Professor of Medicine (Digestive Diseases)
Yale School of Medcine
Prateek Sharma, MD
Professor of Medicine
University of Kansas School of Medicine
Ajay Goel, PhD, AGAF
Director, Biotech Innovations
Associate Director of Basic Science, Comprehensive Cancer Center
Beckman Research Institute of City of Hope
Venkata Sandeep Akshintala, MBBS
Program Director, Medical Pancreatology Fellowship
Program Director, Advanced Endoscopy Fellowship Program
Johns Hopkins School of Medcine
Yuan Li, MD
Department of Clinical Laboratory, Yangpu Hospital, Tongji University School of Medicine
Reasercher
Beckman Research Institute of City of Hope
Bahar Saberzadeh-Ardestani
Sinicrope lab
Division of Gastroenterology and Hepatology Mayo Clinic (Rochester)
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Pricing:
| Member | Nonmember |
|---|---|
| Free | Member only |
Release date: March 4, 2025
Expiration date: April 15, 2026