The noncancerous imaging features obtained before radiation therapy could be used in the future to help guide treatment decisions for these patients, experts suggested.
The DBT-based combined radiomic nomogram achieved a specificity of nearly 95% when predicting lymphovascular invasion, which was higher than other clinical predictive models.
Based on imaging, researchers suggested that gray matter volume could be a predictive marker of outcomes in mental health disorders, such as depression.
Homogenous datasets can create unintended research bias that hinders the clinical efficacy of AI applications, experts recently explained in PLOS Digital Health.
The downward trend in annual mammography adherence should serve as a call to action for new processes to engage breast cancer survivors, physicians urged.