Nicholas Payne

2 months ago | nature.com | Zunamys I. Carrero |Nicholas Payne |Lorena Sanchez |Lorena Sánchez |Kevin Pfeiffer |Marta Ligero | +9 more

AbstractOver the next 5 years, new breast cancer screening guidelines recommending magnetic resonance imaging (MRI) for certain patients will significantly increase the volume of imaging data to be analyzed. While this increase poses challenges for radiologists, artificial intelligence (AI) offers potential solutions to manage this workload. However, the development of AI models is often hindered by manual annotation requirements and strict data-sharing regulations between institutions.