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Yang, Changchun

Dai, Weiqian

Zhang, Yilan

Chen, Siyuan

Hu, Jingdong

Su, Junkai

Chen, Yuxuan

Xu, Ao

Li, Na

Gao, Xin

Yu, Yongguo

Funding for this research was provided by:

King Abdullah University of Science and Technology (KAUST) Office of Research Administration (REI/1/5234-01-01)

King Abdullah University of Science and Technology (KAUST) Office of Research Administration (REI/1/5234-01-01)

King Abdullah University of Science and Technology (KAUST) Office of Research Administration (REI/1/5234-01-01)

King Abdullah University of Science and Technology (KAUST) Office of Research Administration (REI/1/5234-01-01)

Center of Excellence for Smart Health (5932)

Center of Excellence for Smart Health (5932)

Center of Excellence for Smart Health (5932)

Center of Excellence for Smart Health (5932)

Center of Excellence on Generative AI (5940)

Center of Excellence on Generative AI (5940)

Center of Excellence on Generative AI (5940)

Center of Excellence on Generative AI (5940)

National Key R&D Program of China (No. 2022YFC2703400)

National Natural Science Foundation of China (No. 82271904)

Shanghai Municipal Commission of Economy and Informatization (No. 2025_GZL_RGZN_01036)

Cross Biomedical Engineering of Shanghai Jiao Tong University School of Medicine (No. 25X010301330)

Climb-B program of Shanghai Xinhua Hospital (No.XKPF2024B102)

Text and Data Mining valid from 2026-03-27

Accepted Manuscript valid from 2026-03-27