What we need to do to integrate artificial intelligence into GI endoscopy

Post written by Michael B. Wallace, MD, MPH, from Mayo Clinic, Division of Gastroenterology and Hepatology, Sheikh Shakhbout Medical City, Abu Dhabi, United Arab Emirates, and Mayo Clinic Florida, Jacksonville, Florida, USA.

Wallace headshot

This Top Tips article was timely given the rapid expansion of artificial intelligence (AI) tools that are applicable to GI and medicine in general.

AI technologies are rapidly becoming key tools for the gastroenterologist and physicians in general. For GI, we now have endoscopy AI tools—including polyp detection and classification systems—that are U.S. Food and Drug Administration—approved and in practice. Many more are in the pipeline.

More broadly, AI tools such as ambient clinical intelligence systems are now in use, allowing rapid creation of clinical notes by simply listening to doctor-patient conversations. These and other tools are likely to be major timesavers.

At an even broader level, AI tools relevant to doctors include meeting scheduling, taking of meeting minutes, action-item lists, patient information portals that can answer or triage inbox messages, and PDF file readers to summarize key findings from bulk medical records.

Read the full article online.

The information presented in Endoscopedia reflects the opinions of the authors and does not represent the position of the American Society for Gastrointestinal Endoscopy (ASGE). ASGE expressly disclaims any warranties or guarantees, expressed or implied, and is not liable for damages of any kind in connection with the material, information, or procedures set forth.

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