Robert Orlowski, Deputy Chair of Lymphoma/Myeloma, Vice Chair of MM Research, and Florence Maude Thomas Cancer Research Professor at the University of Texas MD Anderson Cancer Center, shared a post on X:
“Myeloma Paper of the Day:
Development of AI-based early diagnostic system for AL #amyloidosis yields model with ROC curve of 0.9784 (95% CI: 0.963-0.987) and 0.95 diagnostic accuracy (95% CI: 0.92-0.98; P<0.05) which exceeds that of hematologists.”
Title: Development of an artificial intelligence-based early diagnostic system for light-chain amyloidosis
Authors: Wei Yan, Jian Chen, Tao He, Haoze Xu, Jianmin Chen, Xiaoyu Liu, Liye Zhong, Yan Li, Chunyan Sun, Xiaobo Wang, Li Gao, Fengyan Jin, Bingzong Li, Chunrui Li, Yingyou Wen, Zhuo Chen, Boheng Liu, Jian Li, Huihan Wang
You can read the Full Article in Annals of Hematology.
You can find more posts featuring Robert Orlowski on OncoDaily.
