Welcome to Docbot


Realtime computer vision for endoscopic procedures

Dysplasia in Barrett's

Polyps and pathology

*These products are not approved by the FDA and are intended for investigational use only.

Automate your Documentation

  • AI prevents missed billing codes
  • Calculates adenoma detection rate, withdrawal time, prep quality, and cecal intubation rate automatically
  • Integrates with report writers
  • Coupled with voice recognition
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Capsule: Read them in minutes, not hours

  • AI annotates abnormalities and landmarks
  • No new software, no integration, no change to workflow
  • Used by GIs worldwide
  • Just review and sign!
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  1. Beyond polyp detection: Novel method to track individual polyps using neural networks

    Requa, James et al.
    ACG 2019

  2. Artificial Intelligence-Aided Colonoscopy - A Retrospective Analysis of Effect on Procedure Time

    Roccato, Mary Kathryn et al.
    ACG 2019

  3. Video Validation Of A Novel Multiclass Convolutional Neural Network For Real Time Optical Pathology Of Adenomas, Sessile Serrated Polyps And Hyperplastic Polyps

    Zachariah, Robin et al.
    DDW 2019 (Oral)

  4. Video Validation Of Small Bowel Convolutional Neural Networks (Cnns) In Identification Of Anatomical Landmarks And Mucosal Abnormalities In Video Capsule Endoscopy

    Lui, Felix H. et al.
    DDW 2019 (Oral)

  5. Automated Insertion Time, Cecal Intubation, And Withdrawal Time During Live Colonoscopy Using Convolutional Neural Networks - A Video Validation Study

    Rombaoa, Christopher et al.
    DDW 2019

  6. Artificial Intelligence Dysplasia Detection (Aidd) Algorithm For Barrett's Esophagus

    Hashimoto, Rintaro et al.
    DDW 2019 (Oral)

  7. Can Artificial Intelligence (AI) Achieve Real-Time 'Resect and Discard' Thresholds Independently of Device or Operator?

    Zachariah, Robin et al.
    ACG 2018 (Oral Plenary)


Dr. William Karnes

William Karnes, MD

Chief Med. Officer

Andrew Ninh


Tyler Dao


Dr. Jason Samarasena

Jason Samarasena, MD

Interventional GI