The focus of my work is the application of statistical and artificial-intelligence (AI) techniques to clinical decision-making, a field that I have been engaged with for over 20 years.
I am particularly interested in developing Bayesian decision-support systems for personalized patient diagnosis and management (e.g., in ophthalmology and cancer) through the fusion of information from different sources (e.g. combining clinical symptoms, radiological data, biomarkers and genetic data), as well as refining and extending existing machine-learning techniques.
In addition to my research papers, I have produced two books on the use of Artificial Intelligence for medicine:
I have given a number of invited talks on AI, one of which is “Bayesian Networks and their Place within Big Data” at Chalmers University, Sweden, in March 2017: