Artificial intelligence-aided colonoscopy does not increase cancer detection

Artificial intelligence-aided colonoscopy does not increase cancer detection


Adenoma and polyp detection rates (ADR/PDR) are lower with use of artificial intelligence-aided colonoscopy (AIAC), according to a study published in the November issue of THey American Journal of Gastroenterology.

Idan Levy, MD, from the Sheba Medical Center at the Ramat Gan and Tel Aviv University School of Medicine in Israel, and colleagues compared ADR/PDR in a six-month period before and after introduction of AIAC in a large-volume center. Data were included for 2,175 pre-AIAC and 1,969 AIAC colonoscopies, which were performed by 30 different gastroenterologists.

The researchers found that compared with the pre-AIAC group, the ADR was lower in the AIAC group (30.3 versus 35.2 percent); moreover, the AIAC group had a lower median number of adenomas per colonoscopy (0.60 versus 0.67).

The PDR was also lower in the AIAC group compared with the pre-AIAC group (36.5 versus 40.9 percent), and the number of polyps per colonoscopy was also lower (0.76 versus 0.83). The total procedure time was significantly shorter in the AIAC group (22 versus 24 minutes); for colonoscopies without any polyp detection, the median procedure time was also significantly shorter in the AIAC group (21 versus 22 minutes).

“Our results underscore the importance of examining AI-aided technologies in the real-world use context so as to reveal unforeseen machine-human interface implications,” the authors write. “These results point out further challenges and directions for incorporation of AI-assisted colonoscopy in routine practice.”

Two authors disclosed financial ties to the biopharmaceutical industry.

More information:
Idan Levy et al, Artificial Intelligence-Aided Colonoscopy Does Not Increase Adenoma Detection Rate in Routine Clinical Practice, American Journal of Gastroenterology (2022). DOI: 10.14309/ajg.0000000000001970

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