Artificial intelligence (computer-assisted detection) is the most recent novel approach to increase adenoma detection

Affiliations

¹ Sepulveda Ambulatory Care Center, Veterans Affairs Greater Los Angeles Healthcare System, North Hills, California, USA; David Geffen School of Medicine at University of California at Los Angeles, Los Angeles, California, USA.
² Dalin Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Dalin, Chiayi, Taiwan; Tzu Chi University, Hualien City, Hualien, Taiwan.

Editorial

Felix W Leung et al. Gastrointest Endosc. 2021 Jan.

. 2021 Jan;93(1):86-88.

doi: 10.1016/j.gie.2020.07.059.

¹ Sepulveda Ambulatory Care Center, Veterans Affairs Greater Los Angeles Healthcare System, North Hills, California, USA; David Geffen School of Medicine at University of California at Los Angeles, Los Angeles, California, USA.
² Dalin Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Dalin, Chiayi, Taiwan; Tzu Chi University, Hualien City, Hualien, Taiwan.

No abstract available

Comment on

Performance of artificial intelligence in colonoscopy for adenoma and polyp detection: a systematic review and meta-analysis.
Hassan C, Spadaccini M, Iannone A, Maselli R, Jovani M, Chandrasekar VT, Antonelli G, Yu H, Areia M, Dinis-Ribeiro M, Bhandari P, Sharma P, Rex DK, Rösch T, Wallace M, Repici A. Hassan C, et al. Gastrointest Endosc. 2021 Jan;93(1):77-85.e6. doi: 10.1016/j.gie.2020.06.059. Epub 2020 Jun 26. Gastrointest Endosc. 2021. PMID: 32598963