Are you an AI software vendor? Update your product info by Oct. 14th for HCP launch.

AI predicts breast cancer risk from normal ultrasound images


Researchers led by Dr. Lev Barinov from Memorial Sloan Kettering Cancer Center in New York found that AI-based analysis of normal background parenchymal breast tissue on breast ultrasound could discriminate between the malignancy status of a lesion without having to observe it directly. In testing, the software outperformed the popular Tyrer-Cuzick risk-assessment model.


“These findings clearly demonstrate that AI holds the promise to make clinically meaningful delineations between high- and low-risk background breast tissue on breast ultrasound examination images,” Barinov told…



Go to publisher site for the complete article:

Read More

      Radiology AI
      Logo
      [gm-custom-hamburger]
      Compare items
      • Total (0)
      Compare