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ASGE Annual Postgraduate Course: Clinical Challeng ...
La Aplicación de la Inteligencia Artificial a la E ...
La Aplicación de la Inteligencia Artificial a la Endoscopia Gastrointestinal | April 2021
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Video Transcription
Video Summary
The video is a webinar titled "The Application of Artificial Intelligence in Endoscopy," presented by Dr. Kadman Leggett. The webinar discusses the use of artificial intelligence (AI) in gastrointestinal endoscopy and its potential benefits and limitations. Dr. Leggett explains that AI algorithms can improve diagnosis and provide a second opinion, as well as predict outcomes and measure risks. He also highlights the challenges and limitations of AI, such as the quality of training data, the "black box" nature of some algorithms, and the need for proper regulation and data privacy. The webinar showcases various applications of AI in endoscopy, including the detection and characterization of diseases like Barrett's esophagus and colon polyps. Dr. Leggett explains how AI algorithms, specifically CAD-E (detection) and CAD-X (characterization), can assist endoscopists in these processes. He also discusses the use of natural language processing (NLP) algorithms in extracting data from colonoscopy reports and measuring the quality of documentation. Dr. Leggett emphasizes the need for clinical studies and validation of AI algorithms before widespread implementation. The webinar concludes by acknowledging the growing importance of AI in endoscopy and the need for its integration into medical practice. The session includes a Q&A segment with Dr. Leggett answering questions from the audience. No credits are mentioned in the video or provided.
Keywords
Artificial Intelligence
Endoscopy
Gastrointestinal
Diagnosis
CAD-E
CAD-X
Natural Language Processing
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