Artificial intelligence and deep learning for upper gastrointestinal neoplasia

P Sharma, C Hassan - Gastroenterology, 2022 - Elsevier
Upper gastrointestinal (GI) neoplasia account for 35% of GI cancers and 1.5 million cancer-
related deaths every year. Despite its efficacy in preventing cancer mortality, diagnostic …

Current status and future perspectives of artificial intelligence in colonoscopy

Y Kamitani, K Nonaka, H Isomoto - Journal of clinical medicine, 2022 - mdpi.com
The early endoscopic identification, resection, and treatment of precancerous adenoma and
early-stage cancer has been shown to reduce not only the prevalence of colorectal cancer …

[HTML][HTML] Artificial intelligence-assisted optical diagnosis for the resect-and-discard strategy in clinical practice: the Artificial intelligence BLI Characterization (ABC) …

E Rondonotti, C Hassan, G Tamanini, G Antonelli… - …, 2023 - thieme-connect.com
Background Optical diagnosis of colonic polyps is poorly reproducible outside of high
volume referral centers. The present study aimed to assess whether real-time artificial …

Artificial intelligence applied to colonoscopy: is it time to take a step forward?

AZ Gimeno-García, A Hernández-Pérez… - Cancers, 2023 - mdpi.com
Simple Summary In recent years, there has been an exponential rise in artificial intelligence-
based technology. Artificial intelligence has been applied to several medical disciplines …

Impact of an artificial intelligence‐aided endoscopic diagnosis system on improving endoscopy quality for trainees in colonoscopy: Prospective, randomized …

D Yamaguchi, R Shimoda, K Miyahara… - Digestive …, 2024 - Wiley Online Library
Objective This study was performed to evaluate whether the use of CAD EYE (Fujifilm,
Tokyo, Japan) for colonoscopy improves colonoscopy quality in gastroenterology trainees …

[HTML][HTML] The influence of computer-aided polyp detection systems on reaction time for polyp detection and eye gaze

J Troya, D Fitting, M Brand, B Sudarevic, JN Kather… - …, 2022 - thieme-connect.com
Background Multiple computer-aided systems for polyp detection (CADe) have been
introduced into clinical practice, with an unclear effect on examiner behavior. This study …

Comparative performance of artificial intelligence optical diagnosis systems for leaving in situ colorectal polyps

C Hassan, P Sharma, Y Mori, M Bretthauer… - …, 2023 - gastrojournal.org
Screening colonoscopy is effective in reducing colo-rectal cancer risk but also represents a
substantial financial burden. 1, 2 Novel strategies based on artificial intelligence (AI; …

[HTML][HTML] Preliminary Evidence of the Use of Generative AI in Health Care Clinical Services: Systematic Narrative Review

D Yim, J Khuntia, V Parameswaran… - JMIR Medical …, 2024 - medinform.jmir.org
Background: Generative artificial intelligence tools and applications (GenAI) are being
increasingly used in health care. Physicians, specialists, and other providers have started …

Artificial intelligence empowers the second-observer strategy for colonoscopy: a randomized clinical trial

P Wang, XG Liu, M Kang, X Peng, ML Shu… - Gastroenterology …, 2023 - academic.oup.com
Background In colonoscopy screening for colorectal cancer, human vision limitations may
lead to higher miss rate of lesions; artificial intelligence (AI) assistance has been …

Two-stage machine learning models for bowel lesions characterisation using self-propelled capsule dynamics

KO Afebu, J Tian, E Papatheou, Y Liu, S Prasad - Nonlinear Dynamics, 2023 - Springer
To foster early bowel cancer diagnosis, a non-invasive biomechanical characterisation of
bowel lesions is proposed. This method uses the dynamics of a self-propelled capsule and a …