AI-BASED ENDOSCOPY SYSTEMS
WINCOMM CORPORATION
AI-BASED ENDOSCOPY SYSTEMS
WINCOMM CORPORATION
Back to Innovators
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.
Highlights
- Auto-labelling and auto-generate reports
- Auto-learning all “voice tagged” diseases and their features
- Edge and cloud-based service-solution for AI in endoscopy surgery procedures
"AI empowered computing for medical service.
Right here, right now."
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Back to Innovators
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.
Highlights
- Auto-labelling and auto-generate reports
- Auto-learning all “voice tagged” diseases and their features
- Edge and cloud-based service-solution for AI in endoscopy surgery procedures