Imaging Informatics: Breaking Down Siloes
May 18, 2023
n the article “Imaging Informatics: Breaking Down Siloes,” Dr. Ittai Dayan discusses the transformative potential of federated learning in radiology. This machine learning technique allows AI models to be trained across multiple decentralized data sources without transferring data to a central location, thereby preserving patient privacy and data security. By facilitating collaborations among institutions, federated learning can overcome challenges associated with data sharing in healthcare, leading to a significant scale-up of radiology data utilization. This advancement is poised to enhance AI integration in radiology, improving diagnostic accuracy and operational efficiency.
For more insights, read the full article on Radiology Today.