Imperial College London


Faculty of MedicineDepartment of Surgery & Cancer

Honorary Senior Research Fellow



+44 (0)20 3312 7651h.ashrafian




1089Queen Elizabeth the Queen Mother Wing (QEQM)St Mary's Campus





Hutan Ashrafian BSc(Hons.), MBBS, PhD, MBA is a clinician-scientist and active surgeon translating novel technologies and therapeutics in healthcare and policy. He is currently 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 has over 20 years of translational clinical, computational physiology, robotic surgery, digital and AI trial and product development experience including novel plant biological COVID vaccines, online teaching tools and national tracing apps. 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 also with NICE on health technological assessment classifications for AI. He was awarded the Royal College of Surgeons Arris and Gale Lectureship, the Hunterian Prize, 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 is in artificial general intelligence, The Turing Test, human rights 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 holds the role of visiting Professor of Research Impact at Leeds University Business School. He has co-edited the major reference text of Artificial Intelligence in Medicine by Springer Nature. His h-index is 63 and based on citation is ranked in the top 1% of scientists worldwide.



Mitra A, Das B, Sarraf K, et al., 2024, Bone health following paediatric and adolescent bariatric surgery: a systematic review and meta-analysis, Eclinicalmedicine, Vol:69, ISSN:2589-5370

Ravindran S, Matharoo M, Rutter MD, et al., 2024, Patient safety incidents in endoscopy: a human factors analysis of nonprocedural significant harm incidents from the National Reporting and Learning System (NRLS)., Endoscopy, Vol:56, Pages:89-99

Sargsyan N, Chen JY, Aggarwal R, et al., 2024, The effects of bariatric surgery on cardiac function: a systematic review and meta-analysis., Int J Obes (lond), Vol:48, Pages:166-176

Ashrafian H, 2024, The earliest description of possible viral haemorrhagic fever and epistaxis identified in ancient Greece., J Travel Med

Sargsyan N, Das B, Robb H, et al., 2024, Outcomes of One-Anastomosis Gastric Bypass Conversion to Roux-en-Y Gastric Bypass for Severe Obesity: A Systematic Review and Meta-analysis., Obes Surg

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