Automated tool determines colonoscopy surveillance intervals

Automated tool determines colonoscopy surveillance intervals

LAS VEGAS — Researchers have developed a natural language processing algorithm which has proven effective at determining post-polypectomy colonoscopy surveillance intervals, according to a presenter at the ACG Annual Scientific Meeting.“We successfully developed an automated pipeline that uses natural language processing to automatically determine the appropriate protocol effective surveillance interval from free text colonoscopy and free text pathology reports,” Camille Soroudi, MD, first-year gastroenterology fellow at the David Geffen School of Medicine at University ofRead More

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