Impact of the clinical use of artificial intelligence–assisted neoplasia detection for colonoscopy: A large-scale prospective, propensity score–matched study (with video)

M Ishiyama, S Kudo, M Misawa, Y Mori, Y Maeda… - Gastrointestinal …, 2022 - Elsevier
… , the detection rate of advanced neoplasia and sessile serrated lesions was not significantly
increased in the CADe group. Patients who have at least 1 advanced neoplasianeoplasia is …

Clinical evaluation of computer-aided colorectal neoplasia detection using a novel endoscopic artificial intelligence: a single-center randomized controlled trial

H Nakashima, N Kitazawa, C Fukuyama, H Kawachi… - Digestion, 2023 - karger.com
… -aided detection (CADe) of colonic adenomas using a new endoscopic artificial intelligence
… The performance of the CADe was assessed based on the adenoma detection rate (ADR). …

Artificial intelligence (AI) real-time detection vs. routine colonoscopy for colorectal neoplasia: a meta-analysis and trial sequential analysis

SS Deliwala, K Hamid, M Barbarawi… - International Journal of …, 2021 - Springer
… Studies analyzing artificial intelligence (AI) in colonoscopies have reported improvements
in detecting colorectal cancer (CRC) lesions, however its utility in the realworld remains limited…

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
… of CADe systems in colorectal neoplasia detection. … , lesion detection by artificial intelligence
is not impacted by factors such as size and morphology that are known to affect detection by …

Endoscopistsʼ diagnostic accuracy in detecting upper gastrointestinal neoplasia in the framework of artificial intelligence studies

L Frazzoni, J Arribas, G Antonelli, D Libanio… - …, 2022 - thieme-connect.com
… miss rates for upper gastrointestinal neoplasia (UGIN) rely on … the framework of artificial
intelligence (AI) validation studies. … We included studies reporting the use of AI in the detection of …

[HTML][HTML] Impact of artificial intelligence on miss rate of colorectal neoplasia

MB Wallace, P Sharma, P Bhandari, J East, G Antonelli… - Gastroenterology, 2022 - Elsevier
Artificial intelligence (AI) may detect colorectal polyps that have been missed due to perceptual
pitfalls. By reducing such miss rate, AI may increase the detection of colorectal neoplasia

[HTML][HTML] Artificial intelligence-assisted endoscopic detection of esophageal neoplasia in early stage: The next step?

Y Liu - World Journal of Gastroenterology, 2021 - ncbi.nlm.nih.gov
Artificial intelligence applied in the screening of early EC has been shown to be a good …
of the art of artificial intelligence applications in clinical early EC detection by endoscopy for …

Artificial intelligence-assisted cytology for detection of cervical intraepithelial neoplasia or invasive cancer: a multicenter, clinical-based, observational study

H Bao, H Bi, X Zhang, Y Zhao, Y Dong, X Luo… - Gynecologic …, 2020 - Elsevier
Artificial intelligence (AI) could automatedly detect abnormalities in digital cytological images…
We aim to evaluate the performance of AI-assisted cytology for the detection of histologically …

Accuracy of artificial intelligence–assisted detection of upper GI lesions: A systematic review and meta-analysis

TKL Lui, VWM Tsui, WK Leung - Gastrointestinal endoscopy, 2020 - Elsevier
… Diagnostic performance of artificial intelligence on detection of neoplastic lesions in the
stomach. TP, True positive; FP, false positive; TN, true negative; FN, false negative; AUROC, …

[HTML][HTML] Diagnostic Accuracy of Artificial Intelligence (AI) to Detect Early Neoplasia in Barrett's Esophagus: A Non-comparative Systematic Review and Meta-Analysis

JL Tan, MA Chinnaratha, R Woodman, R Martin… - Frontiers in …, 2022 - frontiersin.org
… of AI at detecting early Barrett's neoplasia. … to detect and diagnose colorectal lesions
during colonoscopy have been utilized (1). There are fewer studies on detecting early neoplasia