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Hutan Ashrafian is a clinician scientist and surgeon focusing on the translation of novel technologies and therapeutics in healthcare and health policy. He serves as a Visiting Professor for Research Impact at Leeds University Business School and is based at the Institute of Global Health Innovation at Imperial College London. His work includes collaborations with NHS partners and Google Health on artificial intelligence applications for breast cancer screening and the development of international reporting standards for the diagnostic accuracy of AI. Ashrafian's research involves advanced statistical modeling and causal inference applied to large-scale clinical datasets. He is involved in developing and evaluating medical AI algorithms, emphasizing trial methodology and implementation within health systems. He has made significant contributions to the understanding of chronic diseases and has proposed novel solutions for obesity and metabolic disease, including identifying new druggable targets. Ashrafian has published extensively on the intersections of computation, physics, and philosophy, contributing to major reference texts in the field. With an h-index of 82, he is cited among the top 1% of scientists globally.
Imperial College London • London, United Kingdom
Engaged in research focusing on clinical translation of artificial intelligence in healthcare.
Harbinger Health • United Kingdom
Oversaw the development of preventive strategies for early detection of cancer through digital innovations.
Specialisms available in Materials for the Energy Transition or Theory and Simulation of Materials.