Efficacy of real-time computer-aided detection of colorectal neoplasia in a randomized trial

A Repici, M Badalamenti, R Maselli, L Correale… - Gastroenterology, 2020 - Elsevier
Background & Aims One-fourth of colorectal neoplasias are missed during screening
colonoscopies; these can develop into colorectal cancer (CRC). Deep learning systems …

Performance of artificial intelligence in colonoscopy for adenoma and polyp detection: a systematic review and meta-analysis

C Hassan, M Spadaccini, A Iannone, R Maselli… - Gastrointestinal …, 2021 - Elsevier
Background and Aims One-fourth of colorectal neoplasia are missed at screening
colonoscopy, representing the main cause of interval colorectal cancer. Deep learning …

Effect of real-time computer-aided detection of colorectal adenoma in routine colonoscopy (COLO-GENIUS): a single-centre randomised controlled trial

D Karsenti, G Tharsis, B Perrot, P Cattan… - The Lancet …, 2023 - thelancet.com
Background Artificial intelligence systems have been developed to improve polyp detection.
We aimed to evaluate the effect of real-time computer-aided detection (CADe) on the …

Effect of a deep-learning computer-aided detection system on adenoma detection during colonoscopy (CADe-DB trial): a double-blind randomised study

P Wang, X Liu, TM Berzin, JRG Brown, P Liu… - The lancet …, 2020 - thelancet.com
Background Colonoscopy with computer-aided detection (CADe) has been shown in non-
blinded trials to improve detection of colon polyps and adenomas by providing visual alarms …

Real-time computer-aided detection of colorectal neoplasia during colonoscopy: a systematic review and meta-analysis

C Hassan, M Spadaccini, Y Mori… - Annals of Internal …, 2023 - acpjournals.org
Background: Artificial intelligence computer-aided detection (CADe) of colorectal neoplasia
during colonoscopy may increase adenoma detection rates (ADRs) and reduce adenoma …

[HTML][HTML] Computer-aided detection improves adenomas per colonoscopy for screening and surveillance colonoscopy: a randomized trial

A Shaukat, DR Lichtenstein, SC Somers, DC Chung… - Gastroenterology, 2022 - Elsevier
Abstract Background & Aims Colonoscopy for colorectal cancer screening is endoscopist
dependent, and colonoscopy quality improvement programs aim to improve efficacy. This …

[HTML][HTML] Deep learning computer-aided polyp detection reduces adenoma miss rate: a United States multi-center randomized tandem colonoscopy study (CADeT-CS …

JRG Brown, NM Mansour, P Wang… - Clinical …, 2022 - Elsevier
Background & Aims Artificial intelligence-based computer-aided polyp detection (CADe)
systems are intended to address the issue of missed polyps during colonoscopy. The effect …

Lower adenoma miss rate of computer-aided detection-assisted colonoscopy vs routine white-light colonoscopy in a prospective tandem study

P Wang, P Liu, JRG Brown, TM Berzin, G Zhou, S Lei… - Gastroenterology, 2020 - Elsevier
Background and Aims Up to 30% of adenomas might be missed during screening
colonoscopy—these could be polyps that appear on-screen but are not recognized by …

Evaluation of a real-time computer-aided polyp detection system during screening colonoscopy: AI-DETECT study

A Ahmad, A Wilson, A Haycock, A Humphries… - …, 2023 - thieme-connect.com
Background Polyp detection and resection during colonoscopy significantly reduce long-
term colorectal cancer risk. Computer-aided detection (CADe) may increase polyp …

Evaluation of computer-aided detection during colonoscopy in the community (AI-SEE): a multicenter randomized clinical trial

MT Wei, U Shankar, R Parvin, SH Abbas… - Official journal of the …, 2023 - journals.lww.com
METHODS: Between September 28, 2020, and September 24, 2021, a randomized
controlled trial (AI-SEE) was performed evaluating the impact of CADe on polyp detection in …