Professor Hutan Ashrafian
- Position: Professor of Research Impact
- Email: H.Ashrafian@leeds.ac.uk
- Website: Wikipedia | LinkedIn | Googlescholar | ORCID
Professor Hutan Ashrafian is a clinician-scientist, entrepreneur and active surgeon translating novel technologies and therapeutics in healthcare and policy. He has over 20 years of translational clinical, computational physiology, robotic surgery, health policy, digital and AI trial and product development experience including fundamental contributions in the systems biology and clinical practice of Metabolic-Bariatric Surgery, development of novel bio-incubator COVID vaccines, online teaching tools and national tracing apps.
He was the youngest national paediatric cardiothoracic fellow at Great Ormond Street Hospital, and the national paediatric Tracheal Fellow. He leads the STARD-AI and QUADAS-AI global guideline initiatives for AI diagnostic accuracy. He runs the collaboration with Imperial College London, NHS Hospitals and Google on an AI algorithm for Breast Screening and with NICE on health technological assessment (HTA) classifications for AI. He was awarded the Royal College of Surgeons Arris and Gale Lectureship, the Hunterian Prize, the Wellcome Trust Research Fellowship and an NIHR Clinical Lectureship. He has authored >550 publications (including Lancet, Nature, NEJM) and 12 personally authored books ranging from medicine, philosophy and ancient history.
He has several eponymous medical signs named after him including the Ashrafian sign for aortic regurgitation and described his own procedure - the Ashrafian Thoracotomy. His philosophical work in artificial general intelligence, The Ashrafian modification of the Turing Test, human and robot rights (AIONAI law) and solving the Simulation Argument is taught at law schools and he is regularly featured in historical and scientific documentaries. He has also discovered a time paradox in general relativity and closed timelike curves (CTC).
He is currently the Lead for Applied Artificial Intelligence (AI) and Big Data at the Institute of Global Health Innovation at Imperial College London and Chief Scientific Officer of Preemptive Health at the largest global venture incubator – Flagship Pioneering, which generated Moderna. He co-founded the company Oxford Medical Products. He completed a PhD in computational physiology and metabolic surgery at Imperial College London where he was also Chief Scientific Adviser at the Institute of Global Health Innovation at Imperial College London, this was followed by an MBA with distinction at Warwick Business School. He is a recognised expert on Ancient Egypt, the Classical World and Renaissance Art where he has participated in numerous international television documentaries and has given over 60 keynote lectures. He has supervised/co-supervised >50 PhD students and co-edited the major reference text of Artificial Intelligence in Medicine by Springer Nature. His h-index is 63 and based on citations is ranked in the top 1% of scientists worldwide.