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., 2018, Legal, Regulatory and Ethical Frameworks or Standards for AI and Autonomous Robotic Surgery., Int J Med Robot
Ashrafian H, Darzi A, 2018, Transforming health policy through machine learning., Plos Med, Vol:15
Joshi M, Ashrafian H, Darzi A, 2018, Is it time for hospitals with smart wards?, Journal of the Royal Society of Medicine, Vol:111, ISSN:0141-0768, Pages:345-346
et al., 2018, Does Body Contouring After Bariatric Weight Loss Enhance Quality of Life? A Systematic Review of QOL Studies, Obesity Surgery, Vol:28, ISSN:0960-8923, Pages:3333-3341
et al., 2018, Intragastric balloon outcomes in super-obesity: a 16-year city center hospital series., Surg Obes Relat Dis