[HTML][HTML] The role of artificial intelligence in colorectal cancer screening: lesion detection and lesion characterization

E Young, L Edwards, R Singh - Cancers, 2023 - mdpi.com
Simple Summary There has been an exponential rise in the availability of artificial
intelligence systems in endoscopy in recent years. As a result, maintaining an informed …

Lack of Effectiveness of Computer Aided Detection for Colorectal Neoplasia: A Systematic Review and Meta-analysis of Non-Randomized Studies

HK Patel, Y Mori, C Hassan, T Rizkala… - Clinical …, 2023 - Elsevier
Background Benefits of computer-aided detection (CADe) in detecting colorectal neoplasia
were shown in many randomized trials where endoscopists' behavior was strictly controlled …

[HTML][HTML] A real-time polyp-detection system with clinical application in colonoscopy using deep convolutional neural networks

A Krenzer, M Banck, K Makowski, A Hekalo, D Fitting… - Journal of …, 2023 - mdpi.com
Colorectal cancer (CRC) is a leading cause of cancer-related deaths worldwide. The best
method to prevent CRC is with a colonoscopy. During this procedure, the gastroenterologist …

Comprehensive diagnostic performance of real-time characterization of colorectal lesions using an artificial intelligence–assisted system: A prospective study

Y Minegishi, SE Kudo, Y Miyata, T Nemoto… - …, 2022 - gastrojournal.org
The “resect-and-discard” and “leave in situ” strate-gies for colorectal polyps, which were
proposed to reduce polypectomy-related costs, are attracting great attention. 1 The …

Clinical trial designs for artificial intelligence in gastrointestinal endoscopy

Y Mori, MF Kaminski, C Hassan… - The Lancet …, 2022 - thelancet.com
To mitigate the Hawthorne effect, we have proposed randomised health services
implementation studies. 6, 7 In these pragmatic studies, new interventions are integrated …

Detrimental detection of advanced lesions with AI: false confidence or prevalence bias?

C Hassan, Y Mori, P Sharma… - Official journal of the …, 2022 - journals.lww.com
1. Scherübl H. Metabolic syndrome and estrogen use are important confounders in the
multifactorial analysis of colorectal cancer risk. Am J Gastroenterol 2022; 117 (12): 2085. 2 …

Artificial intelligence and high-resolution anoscopy: automatic identification of anal squamous cell carcinoma precursors using a convolutional neural network

MM Saraiva, L Spindler, N Fathallah… - Techniques in …, 2022 - Springer
Background High-resolution anoscopy (HRA) is the gold standard for detecting anal
squamous cell cancer (ASCC) precursors. Although it is superior to other diagnostic …

Evaluating false‐positive detection in a computer‐aided detection system for colonoscopy

T Okumura, K Imai, M Misawa, S Kudo… - Journal of …, 2024 - Wiley Online Library
Abstract Background and Aim Computer‐aided detection (CADe) systems can efficiently
detect polyps during colonoscopy. However, false‐positive (FP) activation is a major …

Impact of artificial intelligence on colorectal polyp detection for early-career endoscopists: an international comparative study

D Ainechi, M Misawa, I Barua, SLV Larsen… - Scandinavian Journal …, 2022 - Taylor & Francis
Background Artificial intelligence (AI) for polyp detection is being introduced to colonoscopy,
but there is uncertainty how this affects endoscopists' ability to detect polyps and neoplasms …

[HTML][HTML] Application of artificial intelligence in endoscopic gastrointestinal tumors

Y Xin, Q Zhang, X Liu, B Li, T Mao, X Li - Frontiers in Oncology, 2023 - frontiersin.org
With an increasing number of patients with gastrointestinal cancer, effective and accurate
early diagnostic clinical tools are required provide better health care for patients with …