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Currently, in the medical industry, Artificial Intelligence (AI) requires significant time in labeling and doctor involvement; creating a reliable system is deemed time-consuming and costly – especially with doctors being understaffed globally.

Wincomm Corporation, a leading manufacturer dedicated to the independent design and development of medical-grade touch panel PCs, integrated Kenkone’s software, EVAS, and an endoscopy virtual assistant system to provide this AI-based endoscopic solution. This solution is an NLP-based platform to auto-label and auto-generate reports, auto-learn all “voice tagged” diseases and their features during the operating procedure and endoscopy screening to scale endoscopy cancer/polyps/tumor/ulcer detection across over – 20 subtype diseases.

The solution comprises an edge and cloud-based service-solution for AI in endoscopy surgery procedures attached to an Olympus Endoscopy Scope. This solution will help save time for doctors who use AI-assistant diagnosis for operation development.