Docbot is an AI-driven platform built for gastrointestinal healthcare, delivering real-time image analysis and automated reporting during endoscopic procedures. The platform supports clinicians with objective, data-backed insights aimed at improving detection accuracy, standardizing quality metrics, and reducing variability in clinical assessments.
The UltivisionAI software platform serves as the technological foundation, capable of running multiple deep-learning algorithms simultaneously in real time. It integrates directly with existing endoscopy systems and monitors, enabling seamless deployment without requiring significant changes to clinical workflows.
Docbot's AI models address a range of GI indications, including colon cancer screening, ulcerative colitis disease activity scoring, bowel preparation assessment, and esophageal cancer detection. These models have been validated through peer-reviewed studies published in leading journals including Gastrointestinal Endoscopy and Gastroenterology.
The platform is designed to empower physicians, healthcare providers, and life sciences companies with granular, reproducible data. By automating historically manual and subjective tasks such as central reading for clinical trials, Docbot aims to reduce costs, improve speed, and support more consistent patient care outcomes.
- Automating bowel preparation adequacy assessment during colonoscopy for standardized quality reporting
- Real-time polyp and lesion detection during colonoscopy to support adenoma detection rates
- Automated endoscopic disease severity scoring for ulcerative colitis in clinical trials
- AI-assisted central reading for pharmaceutical clinical trials in inflammatory bowel disease
- Reducing variability in endoscopic scoring with machine reading comparable to trained human central readers
- Supporting gastroenterologists with real-time decision assistance during live endoscopy procedures
- Integrating AI image analysis into existing endoscopy hardware without workflow disruption
- Generating automated structured reports from endoscopy video data for practice management
- Enabling data-driven analytics across GI practices for quality improvement initiatives
- Deploying AI analysis via capsule endoscopy for expanded patient access and remote diagnostic support

