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Updated: Feb 5, 2026

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
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基于人工智能的模型的开发和验证,用于诊断良性,边缘性和恶性副质

Yingnan Wu1,2,3, Wenli Dai3,4, Xiaoying Li1

  • 1Cancer Centre, Department of Ultrasound Medicine, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China.

NPJ precision oncology
|February 3, 2026
PubMed
概括

一个人工智能模型,临床-OMTA,有助于使用超声波,年龄和CA125.5来分类附质量. 虽然它没有超过仅图像人工智能,但它显著提高了放射科医生的准确性和一致性,在服务不足的地区证明是有用的.

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