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ASGE Annual Postgraduate Course: Clinical Challeng ...
Endoscopic imaging –How the data looks for the com ...
Endoscopic imaging –How the data looks for the computer
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Video Transcription
Video Summary
In this video, the speaker discusses the practical steps involved in building an AI healthcare application in the field of endoscopy. They highlight three options for implementation: clinical practice usage, clinical research, and AI development for commercialization. They emphasize the importance of regulatory clearance for AI devices used in clinical practice and highlight the current status of regulatory approval in endoscopy. The speaker also discusses the research field of AI in endoscopy, the various areas of interest, and the need for collaboration between gastroenterologists, computer vision researchers, and industries. They discuss the process of collecting learning material, obtaining informed consent, and accurate labeling in research. They stress the importance of clinical validation and offer guidelines for reporting study results. The speaker also shares their personal experience in commercializing AI devices in endoscopy and offers recommendations including seeking expert guidance and securing budget for regulatory clearance. They present examples of AI devices that have cleared regulatory approval in Japan and discuss the timeline and costs involved in obtaining approval.
Asset Subtitle
Yuichi Mori,MD, PhD, FASGE
Keywords
AI healthcare application
endoscopy
implementation options
regulatory clearance
clinical validation
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