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Artificial intelligence applications in EUS: the journey of a thousand miles begins with a single step

Published:March 05, 2021DOI:https://doi.org/10.1016/j.gie.2020.09.034
      Artificial intelligence (AI) analysis of medical images is a burgeoning field of active research and industry investment. The ability for AI technology to analyze millions of pixels of imaging data for thousands of patients and to extract information beyond what is possible with the human eye and brain holds great promise.
      • Ruffle J.K.
      • Farmer A.D.
      • Aziz Q.
      Artificial intelligence-assisted gastroenterology: promises and pitfalls.
      AI technologies are already seeing expanding use in radiology. It has been said that “AI won’t replace radiologists, but radiologists who use AI will replace radiologists who don’t.”
      • Reardon S.
      Rise of robot radiologists.

      Abbreviations:

      AI (artificial intelligence), CNN (convolutional neural network)
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        Artificial intelligence-assisted gastroenterology: promises and pitfalls.
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      1. Parasa S, Wallace M, Bagci U, et al. Proceedings from the first global artificial intelligence in gastroenterology and endoscopy summit. Gastrointest Endosc 2020;92:938-45.e1.

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