The main purpose of this research project, "Artificial intelligence (AI) in general practice", is to investigate how AI can be used to improve efficiency and the quality of care in general practice. The project aims to identify legal and ethical concerns regarding the implementation of machine learning (ML) technology into general practice and explore whether such concerns might be mitigated through the use of novel privacy-preserving approaches, such as Federated Learning, With this kind of approach, the patient data used to train the algorithms remains locally stored and a number of numerical weights are instead sent to a central server, which will then process the weights received from the decentralized units resulting in an averaged ML model (as depicted below).
