Quite often, discussions around technology led advancements in the healthcare sector are limited to topics like the electronic medical records and application of AI in diagnosis. There has been tremendous advancement in the broader health care ecosystem enabled by emerging technology solutions and this continues to create possibilities which were otherwise thought to be difficult to crack, for example data security related challenges. Federated learning is one such critical development that is instilling a wide range of innovations in the field of digital health. By enabling collaborative training of AI based models without the need for a centralized data set, federated learning is already making an impact across the entire care delivery cycle, ranging from improved medical image analysis to collaborative drug discovery.
Join us for this session as we explore how technological innovation has helped solve some of the historical challenges afflicting the health system and for a deep dive into the application of federated learning models in healthcare.
