Professor Mateo Aboy (LML Senior Research Scholar) has co-authored a paper titled ‘Regulatory responses to medical machine learning’ with several of LML’s CeBIL Collaborators.
Medical machine learning is a sub-type of medical artificial intelligence, which uses machine learning algorithms to identify medical patterns and guide clinical decisions. Its implementation raises important questions requiring, for example, regulations to ensure safety and effectiveness of marketed MML-based medical devices, and tailored policies for low and middle income countries.
To address these questions, the paper analyses the current regulatory approaches to MML in the USA and Europe. It then examines international perspectives and broader implications, discussing considerations such as data privacy, exportation, explanation, training set bias, contextual bias, and trade secrecy.
The paper is available here.