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Docbot

Docbot provides an AI-assisted imaging platform that enhances the detection and characterization of gastrointestinal diseases through real-time analysis of endoscopic video and multimodal data integration. This technology improves diagnostic accuracy and workflow efficiency for clinicians and researchers, addressing the challenges of disease measurement and monitoring in gastrointestinal care.

Founded 20144700+ followers
Updated 20 months ago

Funding

$4M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Product

Problem

Gastrointestinal (GI) disease measurement and monitoring rely on accurate detection and characterization, but traditional endoscopic methods can be subjective and time-consuming. Clinicians and researchers face challenges in achieving consistent and efficient disease assessment across upper and lower GI tracts.

Solution

Docbot offers an AI-assisted precision imaging platform designed to improve the accuracy, speed, and cost-effectiveness of GI disease measurement and monitoring. The platform integrates the latest advances in GI medicine with machine learning to provide researchers and clinical practitioners with the insights needed to make informed decisions. Docbot's solutions cover the detection and characterization of major diseases in the GI tract, workflow enhancement tools, multimodal data integrations, and point-of-care to post-process deployment options.

Target Audience

The primary users are clinical practitioners and researchers in gastroenterology focused on improving the accuracy and efficiency of GI disease measurement and monitoring. The platform also targets drug developers and clinicians seeking to evaluate patient response to IBD therapies.

Features

  • Certai: Automated quantitative assessment of Inflammatory Bowel Disease (IBD) in endoscopic video.
  • Curai: Automated assessment of endoscopic video quality and scoreability.
  • Amicai: Automates the detection (CADe) and characterization (CADx) of colon polyps (HPs, SSAs & TSAs).
  • Veritai: Provides real-time detection and differentiation of dysplastic and non-dysplastic Barrett’s Esophagus.
  • Multimodal data integration: Uncovers insights at the intersection of endoscopy, histopathology, and ultrasound.
  • Real-time and post-process based solutions for flexible deployment.
This profile is AI-generated and may contain inaccuracies.