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Artificial intelligence in gastrointestinal endoscopy

Rahul Pannala1, Kumar Krishnan2, Joshua Melson3

  • 1Department of Gastroenterology and Hepatology, Mayo Clinic, Scottsdale, Arizona.

Videogie : an Official Video Journal of the American Society for Gastrointestinal Endoscopy
|December 15, 2020
PubMed
Summary

Artificial intelligence (AI) is revolutionizing gastroenterology (GE) by enhancing endoscopic image analysis. AI applications improve the accuracy and efficiency of diagnosing conditions like colorectal polyps and gastric cancer.

Keywords:
ADR, adenoma detection rateAI, artificial intelligenceAMR, adenoma miss rateANN, artificial neural networkBE, Barrett’s esophagusCAD, computer-aided diagnosisCADe, CAD studies for colon polyp detectionCADx, CAD studies for colon polyp classificationCI, confidence intervalCNN, convolutional neural networkCRC, colorectal cancerDL, deep learningGI, gastroenterologyHD-WLE, high-definition white light endoscopyHDWL, high-definition white lightML, machine learningNBI, narrow-band imagingNPV, negative predictive valuePIVI, preservation and Incorporation of Valuable Endoscopic InnovationsSVM, support vector machineVLE, volumetric laser endomicroscopyWCE, wireless capsule endoscopyWL, white light

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