ASGE Annual Postgraduate Course: Clinical Challenges and Real-Time Decision Making in GI Endoscopy (Live and Virtual) | May 2023-La Aplicación de la Inteligencia Artificial a la Endoscopia Gastrointestinal

Video Transcription

Video Summary

The video is a webinar presentation titled "The Application of Artificial Intelligence in Endoscopy". The presenter, Dr. Kadman Leggett, discusses the use of artificial intelligence (AI) in the field of gastroenterology, specifically in endoscopy. He explains that AI has the potential to improve diagnostic capabilities and offers various examples of AI algorithms that have been developed for detecting and characterizing gastrointestinal lesions.<br /><br />Dr. Leggett highlights the use of computer-aided detection (CAD) algorithms for the detection and characterization of lesions such as Barrett's esophagus, varices, and colonic polyps. He explains the functioning of these algorithms, which are trained using large databases of annotated medical images to recognize patterns and make accurate diagnoses. He also mentions the applications of natural language processing (NLP) in extracting information from medical documents, such as colonoscopy reports.<br /><br />The presenter discusses the benefits and limitations of AI in gastroenterology. He emphasizes that while AI algorithms can improve diagnostic accuracy and efficiency, they are not without limitations. Factors like data quality, algorithm transparency, regulation, costs, and patient data privacy need to be considered.<br /><br />The webinar concludes with a Q&A session, where Dr. Leggett answers questions from the audience regarding the potential impact of AI on colonoscopy intervals, reimbursement for AI services, estimated costs, and final comments on the future of AI in gastroenterology.<br /><br />No credits are mentioned in the video or transcript.

Keywords

Artificial Intelligence

Endoscopy

Gastroenterology

Diagnostic capabilities

Computer-aided detection

CAD algorithms

Natural language processing