Gustavo Sudre
Professor of Genomic Neuroimaging and Artificial Intelligence at King’s College London and Rosetrees Pears Chair of Bioinformatics
This research looks to be a significant step towards scalable, interpretable, and – most importantly – ethically responsible form of predictive modelling in medicine. The clear demonstration of how explainable AI can be used to model predictions is crucial if this technology is to be utilised in clinical practices, and suggests it may be possible to identify high risk individuals in need of intervention.
While the current version relies solely on anonymized clinical records, it’s encouraging to see that the model architecture has been deliberately designed to accommodate richer data types, such as biomarkers, imaging, and even genomics. With these future integrations, the Delphi platform is well-positioned to evolve into a truly multimodal, precision-medicine tool.