Comparing the number and relevance of false activations between 2 artificial intelligence computer-aided detection systems: the NOISE study

2022/01/04 by Marco Spadaccini, Cesare Hassan, Ludovico Alfarone +14 · 5 citations
Medicine · Computer Science · #Colorectal Cancer Screening and Detection #AI in cancer detection #Gastrointestinal Bleeding Diagnosis and Treatment

paper · doi:10.1016/j.gie.2021.12.031

Citations

• Artificial Intelligence-Assisted Polyp Detection for Colonoscopy: Initial Experience
• Real-time automatic detection system increases colonoscopic polyp and adenoma detection rates: a prospective randomised controlled study
• Impact of a real-time automatic quality control system on colorectal polyp and adenoma detection: a prospective randomized controlled study (with videos)
• Accuracy of artificial intelligence on histology prediction and detection of colorectal polyps: a systematic review and meta-analysis
• Computer-aided detection-assisted colonoscopy: classification and relevance of false positives
• Lower Adenoma Miss Rate of Computer-Aided Detection-Assisted Colonoscopy vs Routine White-Light Colonoscopy in a Prospective Tandem Study
• Benchmarking definitions of false-positive alerts during computer-aided polyp detection in colonoscopy
• Artificial intelligence and colonoscopy experience: lessons from two randomised trials

Cited by

• Pilot study of a new freely available computer-aided polyp detection system in clinical practice. [europepmc]
• Artificial Intelligence-Aided Endoscopy and Colorectal Cancer Screening. [europepmc]
• Impact of User's Background Knowledge and Polyp Characteristics in Colonoscopy with Computer-Aided Detection. [europepmc]
• A prospective comparison of two computer aided detection systems with different false positive rates in colonoscopy. [europepmc]
• Advanced computer-aided detection system exhibits no more false positives than experienced endoscopists in an image-based comparative study of colon polyps [europepmc]