State Key Laboratory of Oncology in South China

Radiation Oncologists’ Perceptions of Adopting an Artificial Intelligence–Assisted Contouring Technology: Model Development and Questionnaire Study

Huiwen Zhai, Xin Yang, Jiaolong Xue et al.

2021 · 52 Zit.

Comparison of diagnostic accuracy and utility of artificial intelligence–optimized ACR TI-RADS and original ACR TI-RADS: a multi-center validation study based on 2061 thyroid nodules

Ying Liu, Xiaoxian Li, Cuiju Yan et al.

2022 · 20 Zit.

Image-Driven Imitation Learning: Acquiring Expert Scanning Skills in Robotics Ultrasound

Jiaming Li, Haohui Huang, Cong Guo et al.

2025 · 4 Zit.

A quantitative analysis of the improvement provided by comprehensive annotation on CT lesion detection using deep learning

Jingchen Ma, Jin hwan Yoon, Lu Lin et al.

2024 · 3 Zit.

False-Negative and False-Positive Outcomes Of An Artificial Intelligence System And Observers on Brain Metastasis Detection: Secondary Analysis of a Prospective, Multicentre, Multireader Study

Xiao Luo, Yadi Yang, Shaohan Yin et al.

2022 · 1 Zit.

Radiation Oncologists’ Perceptions of Adopting an Artificial Intelligence–Assisted Contouring Technology: Model Development and Questionnaire Study (Preprint)

Huiwen Zhai, Xin Yang, Jiaolong Xue et al.

2021 · 1 Zit.

103 Bridging the AI-Pathologist Gap: Clinical Validation of VIPS (Visual-Imitating Intelligent Pathological Scoring) Framework for Consistent TILs Assessment in Breast Cancer

Xi Cai, Mei Li, Xue Chao et al.

2026 · 0 Zit.