My research focuses on software to improve clinical decision making. Most of the applications I have looked at in recent years concern medical imaging, including the use of AI in mammography, in retinal imaging and chest radiographs. I am interested in seeing how recent advances in the application of neural networks to medical imaging can be most effectively applied to improve the quality of clinical decision making.
I am also active in the use of large datasets, including image databases, to improve our understanding of disease and the effectiveness of treatment, using a large collection of data on ophthalmology from 28 different hospitals.
A lot of my energy in recent years has gone into the development of new teaching programmes and I periodically publish papers assessing our work and its impact.