Hutan Ashrafian is a Clinical Lecturer in Surgery. His research objectives are to develop innovative and technological strategies to resolve the global healthcare burden of obesity, metabolic syndrome, obesity-related cardiorespiratory disease, musculoskeletal dysfunction and cancer.
His work encompasses clinical and mechanistic studies of metabolic bariatric surgery, complex biostatistical models, networks and evidence synthesis to guide policy decisions, computational physiology and systems medicine, novel health technology assessment and diagnostic accuracy of biomarkers, robotics and artificial intelligence agents in healthcare, ancient history analytics, academic impact & leadership metrics and regenerative strategies including sports-based and bio-inspired bionic therapies.
et al., 2017, Systematic review on the predictive ability of frailty assessment measures in cardiac surgery, Interactive Cardiovascular and Thoracic Surgery, Vol:24, ISSN:1569-9293, Pages:619-624
et al., 2017, Can Artificial Intelligences Suffer from Mental Illness? A Philosophical Matter to Consider, Science and Engineering Ethics, Vol:23, ISSN:1353-3452, Pages:403-412
et al., 2017, Anastomotic leaks can be detected within 5 days following ileorectal anastomosis: a case-controlled study in patients with familial adenomatous polyposis, Colorectal Disease, Vol:19, ISSN:1462-8910, Pages:251-259
Protopapas AD, Ashrafian H, Athanasiou T, Dura censor sed censor: A reviewer’s ongoing audit of 11 years in the journals of the European Association for Cardio-thoracic Surgery, Frontiers - simulation for training in cardiothoracic surgery
Protopapas AD, Ashrafian H, Athanasiou T, Tumour thrombi in the cavae, Charing Cross Symposium 2016