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Performance of artificial intelligence in colonoscopy for adenoma and polyp detection: a systematic review and meta-analysis
Cesare Hassan ,
Marco Spadaccini ,
Andrea Iannone ,
Roberta Maselli ,
Manol Jovani ,
Viveksandeep Thoguluva Chandrasekar ,
Giulio Antonelli ,
Honggang Yu ,
Miguel Areia ,
Mario Dinis-Ribeiro ,
Pradeep Bhandari ,
Prateek Sharma ,
Douglas K. Rex ,
Thomas Rösch ,
Michael Wallace ,
Alessandro Repici
January 2021
January 2021
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Abstract
<p class="first" id="d5546840e271">One-fourth of colorectal neoplasia are missed at
screening colonoscopy, representing
the main cause of interval colorectal cancer. Deep learning systems with real-time
computer-aided polyp detection (CADe) showed high accuracy in artificial settings,
and preliminary randomized controlled trials (RCTs) reported favorable outcomes in
the clinical setting. The aim of this meta-analysis was to summarize available RCTs
on the performance of CADe systems in colorectal neoplasia detection.
</p>