Exploring the Potential of Claude 3 Opus in Renal Pathological Diagnosis: Performance Evaluation.

Journal: JMIR medical informatics
PMID:

Abstract

BACKGROUND: Artificial intelligence (AI) has shown great promise in assisting medical diagnosis, but its application in renal pathology remains limited.

Authors

  • Xingyuan Li
    Department of Nephrology, West China Hospital, Sichuan University, Chengdu, China.
  • Ke Liu
    State Key Laboratory of Stress Cell Biology, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, P.R. China.
  • Yanlin Lang
    Department of Nephrology, West China Hospital, Sichuan University, Chengdu, China.
  • Zhonglin Chai
    Department of Diabetes, Central Clinical School, Monash University, Melbourne, Australia.
  • Fang Liu
    The First Clinical Medical College of Gannan Medical University, Ganzhou 341000, Jiangxi Province, China.