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, International evaluation of an AI system for breast cancer screening, Nature, Vol:577, ISSN:0028-0836, Pages:89-94
et al., Patient safety in inpatient mental health settings: a systematic review, Bmj Open, ISSN:2044-6055
et al., 2019, Digital Alerting and Outcomes in Patients With Sepsis: Systematic Review and Meta-Analysis, Journal of Medical Internet Research, Vol:21, ISSN:1438-8871
Ashrafian H, Goodman J, The Promising Connection Between Data Science and Evolutionary Theory in Oncology, Frontiers in Oncology, ISSN:2234-943X
et al., Threats to safe transitions from hospital to home: Consensus study in primary care, British Journal of General Practice, ISSN:0960-1643