Deep Learning Computer-aided Polyp Detection Reduces Adenoma Miss Rate: A United States Multi-center Randomized Tandem Colonoscopy Study (CADeT-CS Trial)

Artificial intelligence-based computer-aided polyp detection (CADe) systems are intended to address the issue of missed polyps during colonoscopy. The effect of CADe during screening and surveillance colonoscopy has not previously been studied in a United States (U.S.) population. We conducted a pro...

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Veröffentlicht in:	Clinical gastroenterology and hepatology 2022-07, Vol.20 (7), p.1499-1507.e4
Hauptverfasser:	Glissen Brown, Jeremy R., Mansour, Nabil M., Wang, Pu, Chuchuca, Maria Aguilera, Minchenberg, Scott B., Chandnani, Madhuri, Liu, Lin, Gross, Seth A., Sengupta, Neil, Berzin, Tyler M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Adenoma Detection Rate Adenoma Miss Rate Computer-aided Detection Deep Learning Randomized Tandem Colonoscopy Study
Online-Zugang:	Volltext
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