ASGE Masterclass: Artificial Intelligence 101 (On-demand) | May 2024-Why Machine Learning in Gastroenterology

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The document discusses the application of Artificial Intelligence (AI) in Gastroenterology, particularly in gastrointestinal (GI) health care. AI, including machine learning and deep learning, is increasingly being used to improve clinical practice quality in imaged-based specialties like endoscopy. The main objectives include addressing clinical challenges faced by gastroenterologists, such as colon polyp detection, Barrett's esophagus, gastric cancer, and small bowel disease. AI aims to enhance outcomes, decrease healthcare delivery variances, and lower medical costs by improving diagnostic accuracy and patient outcomes.<br /><br />Studies have shown that AI applications in GI endoscopy, such as colonoscopy, can significantly improve adenoma detection rate (ADR) without increasing withdrawal time. AI systems like CADe/ CADx have been developed for colon polyp detection and characterization. Additionally, AI has been applied to improve the surveillance of conditions like Barrett's esophagus and gastric cancer by aiding in dysplasia and cancer differentiation. Moreover, AI has enhanced reading speeds and sensitivity in capsule endoscopy, leading to significant time savings and improved lesion detection accuracy.<br /><br />The adoption of AI in GI is essential due to its potential to bridge skill gaps among endoscopists and improve patient outcomes in conditions like colon cancer prevention and upper GI bleeding. By leveraging AI technology, GI healthcare providers can benefit from increased diagnostic accuracy, reduced healthcare costs, and enhanced workflow efficiency. Overall, the document emphasizes the importance and benefits of incorporating AI into Gastroenterology to advance patient care and outcomes in the field.

Asset Subtitle

Seth A. Gross, MD, FACG, FASGE, AGAF

Meta Tag

Concept Artificial Intelligence

Concept Machine Learning

Concept Lower Endoscopy

Concept Colorectal Polyp Detection

Concept Deep learning

Keywords

Artificial Intelligence in Gastroenterology

Gastrointestinal healthcare

Endoscopy AI applications

Colon polyp detection

Barrett's esophagus AI

Gastric cancer diagnosis

Small bowel disease AI

Adenoma detection rate improvement

CADe/CADx for polyp detection

Capsule endoscopy AI applications

Artificial Intelligence

Machine Learning

Lower Endoscopy

Colorectal Polyp Detection

Deep learning