ColoMaia is an AI-assisted endoscopic module that enhances polyp detection rates by 43% and reduces physician reporting time by 50% through automated video recording and real-time acoustic warnings. Designed for compatibility with existing endoscopy systems, it minimizes false positives and streamlines the reporting process, ultimately improving patient outcomes in colonoscopy procedures.
Funding
Funding not disclosed
Founders
Product
Problem
Gastroenterologists face challenges in detecting all polyps during colonoscopies, potentially leading to missed diagnoses and delayed treatment of colorectal cancer. Manual reporting of colonoscopy procedures is time-consuming and can be prone to inconsistencies, impacting workflow efficiency.
Solution
ColoMaia is an AI-assisted endoscopy module designed to enhance polyp detection rates and streamline the reporting process during colonoscopies. The system uses real-time acoustic warnings to alert physicians to potentially missed polyps, increasing detection rates by up to 43%. ColoMaia also automates video recording and generates comprehensive reports, reducing physician reporting time by 50%. The module is designed for compatibility with existing endoscopy systems, minimizing disruption to current workflows. By reducing false positives and providing automated assistance, ColoMaia aims to improve patient outcomes and increase the efficiency of colonoscopy procedures. The system employs contextual AI to identify challenging flat lesions, reducing the occurrence of false positives compared to other AI solutions.
Target Audience
The primary target audience includes gastroenterologists, endoscopy centers, and hospitals seeking to improve polyp detection rates, streamline reporting, and enhance the overall efficiency of colonoscopy procedures.
Features
- Real-time acoustic warnings for missed polyp detection
- Automatic start/stop lossless video recording
- Navigation assistance during colonoscopy and caecum detection
- Automatic withdrawal time copilot
- Automatic Boston-Bowel-Preparation-Scale (BBPS) scoring
- Automated generation of medical reports with integration to Hospital Information Systems (HIS)
- Management Business Intelligence (BI) reports, including exam numbers, procedure types, and performance metrics
- Contextual AI for detection of flat lesions with reduced false positives