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., Patient safety in inpatient mental health settings: a systematic review, Bmj Open, ISSN:2044-6055
et al., The patient safety practices of emergency medical teams in disaster zones: a systematic analysis, Bmj Global Health, ISSN:2059-7908
et al., 2019, Effectiveness of different recruitment strategies in an RCT of a surgical device:;Experience from the Endobarrier trial, Bmj Open, Vol:9, ISSN:2044-6055
CONSORT-AI and SPIRIT-AI Steering Group, 2019, Author Correction: Reporting guidelines for clinical trials evaluating artificial intelligence interventions are needed., Nat Med
et al., 2019, Evaluation of Direct from Sample Metabolomics of Human Feces Using Rapid Evaporative Ionization Mass Spectrometry., Anal Chem, Vol:91, Pages:13448-13457