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., 2019, Wearable sensors to improve detection of patient deterioration, Expert Review of Medical Devices, Vol:16, ISSN:1743-4440, Pages:145-154
et al., 2019, Legal, regulatory, and ethical frameworks for development of standards in artificial intelligence (AI) and autonomous robotic surgery, International Journal of Medical Robotics and Computer Assisted Surgery, Vol:15, ISSN:1478-5951
et al., 2018, Diagnostic accuracy of i-scan image enhancement for real-time endoscopic diagnosis of small colorectal polyps: a meta-analysis, Therapeutic Advances in Gastroenterology, Vol:11, ISSN:1756-2848
et al., 2018, Intragastric balloon outcomes in super-obesity: a 16-year city center hospital series, Surgery for Obesity and Related Diseases, Vol:14, ISSN:1550-7289, Pages:1691-1699
Ashrafian H, Darzi A, 2018, Transforming health policy through machine learning, Plos Medicine, Vol:15, ISSN:1549-1676