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., 2020, Developing specific reporting guidelines for diagnostic accuracy studies assessing AI interventions: The STARD-AI Steering Group, Nature Medicine, ISSN:1078-8956
et al., Breaking bad news training in the COVID-19 era and beyond, Journal of Medical Education and Curricular Development, ISSN:2382-1205
et al., 2020, Clinical impact of multi-parameter continuous non-invasive monitoring in hospital wards: a systematic review and meta-analysis., J R Soc Med, Vol:113, Pages:217-224
Denning M, Ashrafian H, Leading for Innovation, Bmj Leader
et al., 2020, Multimodal mixed reality visualisation for intraoperative surgical guidance, International Journal of Computer Assisted Radiology and Surgery, Vol:15, ISSN:1861-6410, Pages:819-826