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, Can shared leadership enhance clinical team management? A systematic review., Leadersh Health Serv (bradf Engl), Vol:32, Pages:309-335
et al., 2019, The impact of mobile technology on teamwork and communication in hospitals: a systematic review, Journal of the American Medical Informatics Association, Vol:26, ISSN:1067-5027, Pages:339-355
et al., 2019, Does Sleeve Gastrectomy Expose the Distal Esophagus to Severe Reflux?: A Systematic Review and Meta-analysis., Ann Surg
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