Gastounioti Reviews AI Applications for Mammographic Phenotyping of Breast Cancer Risk

Diagram explaining the relationship between the different techniques in the field of artificial intelligence

Aimilia Gastounioti, PhD, assistant professor of radiology, and colleagues recently published a narrative review synthesizing the current state-of-the-art applications of artificial intelligence (AI) in mammographic phenotyping of breast cancer risk. They covered the fundamentals of AI and explored the computing advancements that have made AI-based image analysis essential in refining breast cancer risk assessment. Specifically, they discuss the use of data derived from digital mammography as well as digital breast tomosynthesis.

Read the review in Breast Cancer Research.