Artificial intelligence in breast cancer imaging: a systematic review of detection, segmentation, explainability, and clinical translation
Artificial intelligence shows substantial potential to enhance breast cancer imaging, but broader clinical translation requires robust external and prospective validation, improved calibration, assessment of generalizability and bias, and integration into clinical workflows.
I. Khan, Syed Taimoor Hussain Shah, Alexandra Tsipourakis et al.
· Frontiers in Imaging · 0 citations