Continued improvements in computing power and techniques means that health services are beginning to experience the benefits that machine learning has to offer. From supporting healthcare professionals in making diagnoses and determining risk, to optimising treatment decisions and patient management, further increase and expansion of machine learning in healthcare seems assured.
We were awarded seed funding from the Wellcome Trust to examine interpretability in the context of healthcare and relevant regulation. Our research, Black box medicine and transparency is a series of documents each examining a different aspect of the problem of human interpretability of machine learning in healthcare and research. In clarifying the requirements for transparency and explanation we aim to improve patient and public trust in these technologies and better ensure that the benefits for healthcare are realised for all.
Each report engages with a different issue of the black box problem.
Authors: Johan Ordish, Colin Mitchell, Hannah Murfet, Tanya Brigden and Alison Hall
With funding from
