Detection assist technology for colonic polyps
This technology assists real time detection and characterization of colonic polyps from colonoscopy images with AI software.
Detection/DiagnosisESGastroenterology
Detection technology for gastric neoplastic lesions and suspected esophageal squamous cell carcinoma
The technology utilizes AI to analyze upper gastrointestinal endoscopic images, recognizing areas suspected of being gastric neoplastic lesions or esophageal squamous cell carcinoma and detecting them in real time.
Detection/DiagnosisESGastroenterology
Endoscopy report creation support technology
In lower gastrointestinal endoscopy, AI technology is used to automatically recognize the insertion and removal of the scope from the body, as well as the insertion of surgical instruments, through software.
This is expected to support the recording of examination times and information on specimen collection (e.g., polyps), thereby reducing the burden on physicians in preparing reports.
This is expected to support the recording of examination times and information on specimen collection (e.g., polyps), thereby reducing the burden on physicians in preparing reports.
Workflow SupportESGastroenterology
Endoscopy report creation support technology
In upper gastrointestinal endoscopy, AI technology is used to automatically recognize the location of images taken by doctors.
By extracting appropriate images for each location and automatically recording them in a report, it is expected that the burden of report creation for doctors will be reduced.
By extracting appropriate images for each location and automatically recording them in a report, it is expected that the burden of report creation for doctors will be reduced.
Workflow SupportESGastroenterology
Ultrasound endoscopic diagnostic support technology for the pancreatic region
We have developed ultrasound endoscopy diagnostic support software that detects areas suspected of pancreatic solid lesions in real time during ultrasound endoscopy examinations, thereby supporting the early detection of pancreatic cancer.
By analyzing ultrasound endoscopy images, the software detects areas where the pancreas is presumed to exist and areas suspected of pancreatic solid lesions in real time, and displays the results on the monitor's ultrasound endoscopy image.
By alerting the operator, the software assists in detecting pancreatic solid lesions.
By analyzing ultrasound endoscopy images, the software detects areas where the pancreas is presumed to exist and areas suspected of pancreatic solid lesions in real time, and displays the results on the monitor's ultrasound endoscopy image.
By alerting the operator, the software assists in detecting pancreatic solid lesions.
Detection/DiagnosisESRadiologyGastroenterology