Understanding Variation in Breast Cancer Screening Results: AI Vs. Radiologists

The question of whether AI can perform as well as humans -- if not more so -- is often raised in public discussion, whether it's a dialogue about self-driving cars or strategies for policing social media. "Differences between human and machine perception in medical diagnosis", led by CDS PhD student Taro Makino, attempts to answer a similar question when it comes to breast cancer screenings. The paper observes that radiologists and AI produce different results in analyzing breast cancer medical images and proposes a potential solution to understand this gap in outcome. Additional collaborators on this project include former CDS affiliated postdoctoral researcher, Stanisław Jastrzębski, CDS Associate Professor of Computer Science and Data Science, Kyunghyun Cho, CDS affiliated professor, Krzysztof Geras, and others. The team's work sought to better understand why AI renders different results than human radiologists and how leveraging AI can potentially enhance cancer detection.