Training & Education

Mammography Topics

AI and DBT in Screening: Approaches to Improve and Accelerate Mammography Reading

Digital breast tomosynthesis (DBT) is being intensively discussed for use European screening programs, while it’s already being widely adopted in the United States. Within DBT, reading time is of the essence and any effort to reduce it will be particularly important. Artificial Intelligence (AI) assisted navigating and reading could also have a substantial impact on reading time (Sechopolous, ECR March 2020).

Experts are describing a number of strategies for reducing the number of cases and images that need to be interpreted and are proposing various methods for decreasing the time required to interpret a case. Artificial intelligence is one of the latest developments that can reduce reading time and even improve the diagnostic outcome.

Artificial intelligence in mammography

Prof. Dr. Rachel Brem (George Washington University, Washington, USA) and 

Dr. Brian S. Englander (Pennsylvania Hospital, Philadelphia, USA) talk about the impact of artificial intelligence (AI) on cancer detection and compare AI to radiologists’ interpretations of 2D and 3D mammograms. (RSNA, Nov. 2022)

How is image interpretation behaviour changing with 3D and AI

Two scientists from the Radboud University Medical Center in Nijmegen, The Netherlands, assess the use of artificial intelligence and 3D imaging methods in terms of their impact on breast screening and diagnostics. Dr. Ritse Mann does so from a radiologist’s perspective, and Prof. Dr. Nico Karssemeijer from a medical physicist's perspective. (ECR, July 2022)

Radiomics for automated cancer diagnosis: The truce between machine learning and deep learning

AI in breast care – hype or hope? In this science slam Marco Caballo, postdoctoral researcher at Radboud University Medical Center Nijmegen, The Netherlands, explains the differences of machine and deep learning and how they could "play" together in an entertaining way. (ECR, July 2022)