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Risk Perception, Acceptance, and Trust of Using AI in Gastroenterology Practice in the Asia-Pacific Region: Web-Based Survey Study

Risk Perception, Acceptance, and Trust of Using AI in Gastroenterology Practice in the Asia-Pacific Region: Web-Based Survey Study

When the algorithm indicated that the patient had a colonic polyp, the colleague asked for an additional biopsy. It turned out that the result produced by the algorithm was correct (use the following scale: 1=have major doubts to 4=neutral to 7=fully believe).

Wilson WB Goh, Kendrick YA Chia, Max FK Cheung, Kalya M Kee, May O Lwin, Peter J Schulz, Minhu Chen, Kaichun Wu, Simon SM Ng, Rashid Lui, Tiing Leong Ang, Khay Guan Yeoh, Han-mo Chiu, Deng-chyang Wu, Joseph JY Sung

JMIR AI 2024;3:e50525

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Article has an altmetric score of 115

Diagnostic Accuracy of Artificial Intelligence and Computer-Aided Diagnosis for the Detection and Characterization of Colorectal Polyps: Systematic Review and Meta-analysis

Diagnostic Accuracy of Artificial Intelligence and Computer-Aided Diagnosis for the Detection and Characterization of Colorectal Polyps: Systematic Review and Meta-analysis

Application of AI in colonoscopy has focused more on polyp detection than characterization, driven by the development of deep CNNs (DCNNs). The architecture of these algorithms includes multiple layers of processing between the input and output layers, allowing analysis of complex data with efficient performance. The most advanced polyp detection systems are those that can be applied to video-based analysis during colonoscopy.

Scarlet Nazarian, Ben Glover, Hutan Ashrafian, Ara Darzi, Julian Teare

J Med Internet Res 2021;23(7):e27370

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Article has an altmetric score of 5