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Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
Published on: December 15, 2023
Shin-Ei Kudo1, Yuichi Mori1, Masashi Misawa1
1Digestive Disease Center, Showa University Northern Yokohama Hospital, Kanagawa, Japan.
Artificial intelligence in colonoscopy, known as computer-aided diagnosis (CAD), shows promise for improving polyp detection and characterization. This technology aims to enhance accuracy and reduce costs in gastrointestinal endoscopy.
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