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Artificial Intelligence Performance in Image-Based Cancer Identification: Umbrella Review of Systematic Reviews

Artificial Intelligence Performance in Image-Based Cancer Identification: Umbrella Review of Systematic Reviews

Dai et al [177] and Zhu et al [178] systematically evaluated the application value of radiomics and DL in the differential diagnosis of benign and malignant soft tissue tumors and demonstrated a pooled sensitivity of 84% and 84% and specificity of 88% and 63%, respectively.

He-Li Xu, Ting-Ting Gong, Xin-Jian Song, Qian Chen, Qi Bao, Wei Yao, Meng-Meng Xie, Chen Li, Marcin Grzegorzek, Yu Shi, Hong-Zan Sun, Xiao-Han Li, Yu-Hong Zhao, Song Gao, Qi-Jun Wu

J Med Internet Res 2025;27:e53567