AI model capable of reading various cancer images

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AI model capable of reading various cancer images

A Chinese team has developed the country's first versatile artificial intelligence model capable of examining medical images of more than 20 human organs, including the lungs, breasts, and liver. The large language model, known as PathOrchestra, represents a breakthrough in AI-assisted disease diagnosis, transitioning from a singular model dedicated to a specific cancer to a versatile one capable of addressing multiple types. Researchers from Air Force Medical University, Tsinghua University, and SenseTime utilized China's largest domestic dataset for this development.

The model, PathOrchestra, leveraged self-supervised learning to analyze over 20 different organs and has successfully completed various clinical tasks such as pan-cancer classification, lesion identification, and multi-cancer subtype differentiation. Wang Zhe, a professor from Air Force Medical University, highlighted the complexity of pathological images and the model's significant impact on image processing. PathOrchestra has achieved an accuracy rate exceeding 95 percent in nearly 50 clinical tasks, including lymphoma subtype diagnosis and bladder cancer screening.

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