Robin Zachariah

Journal Article J Clin Gastroenterol · October 1, 2021 Leaving no significant polyp behind while avoiding risks due to unnecessary resections is a commonsense strategy to safely and effectively prevent colorectal cancer (CRC) with colonoscopy. It also alludes to polyps worth removing and, therefore, worth find ... Full text Link to item Cite

Artificial intelligence for colon polyp detection: Why should we embrace this?

Journal Article Techniques and Innovations in Gastrointestinal Endoscopy · April 1, 2020 Optimal success of colonoscopy for prevention of colorectal cancer is currently measured by adenoma detection rate (ADR), which reflects a colonoscopists ability to identify colorectal and remove precancerous polyps. Among colonoscopists in the same health ... Full text Cite

Prediction of Polyp Pathology Using Convolutional Neural Networks Achieves "Resect and Discard" Thresholds.

Journal Article Am J Gastroenterol · January 2020 OBJECTIVES: Reliable in situ diagnosis of diminutive (≤5 mm) colorectal polyps could allow for "resect and discard" and "diagnose and leave" strategies, resulting in $1 billion cost savings per year in the United States alone. Current methodologies have fa ... Full text Link to item Cite

The potential of deep learning for gastrointestinal endoscopy—a disruptive new technology

Chapter · January 1, 2020 Applications of deep learning have the potential to revolutionize gastrointestinal endoscopy. When trained by experts and capable of real-time feedback, deep learning can be applied to improve disease detection; to assist interventions; and to document pro ... Full text Cite