Aunt Minnie, a leading news source in the field of radiology, recently spotlighted a groundbreaking publication in Radiology titled “Performance of Algorithms Submitted in the 2023 RSNA Screening Mammography Breast Cancer Detection AI Challenge.” The research, which showcases the performance of AI algorithms in breast cancer detection, was presented by Professor Yan Chen and her team.
The publication offers a detailed analysis of the algorithms submitted to the 2023 RSNA AI Challenge, an event aimed at advancing AI technology for early breast cancer detection through screening mammography. The study emphasises how these algorithms are improving diagnostic accuracy and could potentially reshape the future of breast cancer screening.
Professor Yan Chen, who led the research, was also interviewed by Aunt Minnie, providing deeper insights into the challenges and innovations in AI-driven mammography analysis. In the interview, she discusses how the algorithms performed and their potential impact on clinical practice, as well as the importance of collaboration within the radiology and AI communities.
The full interview and additional insights can be accessed on Aunt Minnie here
For those interested in the full research publication, it is available in Radiology here
https://pubs.rsna.org/doi/10.1148/radiol.241447
