Ashrafian, Hutan

International evaluation of an AI system for breast cancer screening

McKinney, S. M., Sieniek, M., Godbole, V., Godwin, J., Antropova, N., Ashrafian, H., Back, T., Chesus, M., Corrado, G. S., Darzi, A., et al. (2020) · Nature

AI in cancer detectionDigital Radiography and Breast Imaging

Cited by 3,287

Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension

Liu, X., Cruz Rivera, S., Moher, D., Calvert, M. J., Denniston, A. K., The SPIRIT-AI and CONSORT-AI Working Group, SPIRIT-AI and CONSORT-AI Steering Group, Chan, A.-W., Darzi, A., Holmes, C., et al. (2020) · Nature Medicine

Meta-analysis and systematic reviewsArtificial Intelligence in Healthcare and Education

Cited by 1,421

Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis

Aggarwal, R., Sounderajah, V., Martin, G., Ting, D. S. W., Karthikesalingam, A., King, D., Ashrafian, H., & Darzi, A. (2021) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationAI in cancer detection

Cited by 946

Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension

Cruz Rivera, S., Liu, X., Chan, A.-W., Denniston, A. K., Calvert, M. J., The SPIRIT-AI and CONSORT-AI Working Group, SPIRIT-AI and CONSORT-AI Steering Group, Darzi, A., Holmes, C., Yau, C., et al. (2020) · Nature Medicine

Meta-analysis and systematic reviewsArtificial Intelligence in Healthcare and Education

Cited by 933

Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension

Liu, X., Cruz Rivera, S., Moher, D., Calvert, M. J., Denniston, A. K., Ashrafian, H., Beam, A. L., Chan, A.-W., Collins, G. S., Deeks, A. D. J., et al. (2020) · The Lancet Digital Health

Meta-analysis and systematic reviewsArtificial Intelligence in Healthcare and Education

Cited by 555

Understanding the role of gut microbiome–host metabolic signal disruption in health and disease

Holmes, E., Li, J. V., Athanasiou, T., Ashrafian, H., & Nicholson, J. K. (2011) · Trends in Microbiology

Gut microbiota and healthOral microbiology and periodontitis research

Cited by 541

Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension

Cruz Rivera, S., Liu, X., Chan, A.-W., Denniston, A. K., Calvert, M. J., Ashrafian, H., Beam, A. L., Collins, G. S., Darzi, A., Deeks, J. J., et al. (2020) · The Lancet Digital Health

Meta-analysis and systematic reviewsArtificial Intelligence in Healthcare and Education

Cited by 486

Legal, regulatory, and ethical frameworks for development of standards in artificial intelligence (AI) and autonomous robotic surgery

O'Sullivan, S., Nevejans, N., Allen, C., Blyth, A., Leonard, S., Pagallo, U., Holzinger, K., Holzinger, A., Sajid, M. I., & Ashrafian, H. (2019) · The International Journal of Medical Robotics and Computer Assisted Surgery

Digitalization, Law, and RegulationArtificial Intelligence in Healthcare and Education

Cited by 437

The STARD-AI reporting guideline for diagnostic accuracy studies using artificial intelligence

Sounderajah, V., Guni, A., Liu, X., Collins, G. S., Karthikesalingam, A., Markar, S. R., Golub, R. M., Denniston, A. K., Shetty, S., Moher, D., et al. (2025) · Nature Medicine

Meta-analysis and systematic reviewsArtificial Intelligence in Healthcare and Education

Cited by 352

Developing a reporting guideline for artificial intelligence-centred diagnostic test accuracy studies: the STARD-AI protocol

Sounderajah, V., Ashrafian, H., Golub, R. M., Shetty, S., De Fauw, J., Hooft, L., Moons, K., Collins, G., Moher, D., Bossuyt, P. M., et al. (2021) · BMJ Open

Meta-analysis and systematic reviewsArtificial Intelligence in Healthcare and Education

Cited by 333

Ambient temperature and mental health: a systematic review and meta-analysis

Thompson, R., Lawrance, E. L., Roberts, L. F., Grailey, K., Ashrafian, H., Maheswaran, H., Toledano, M. B., & Darzi, A. (2023) · The Lancet Planetary Health

Climate Change and Health ImpactsUrban Heat Island Mitigation

Cited by 306

Catastrophizing: a predictive factor for postoperative pain

Khan, R. S., Ahmed, K., Blakeway, E., Skapinakis, P., Nihoyannopoulos, L., Macleod, K., Sevdalis, N., Ashrafian, H., Platt, M., Darzi, A., et al. (2011) · The American Journal of Surgery

Anesthesia and Pain ManagementPediatric Pain Management Techniques

Cited by 289

Developing specific reporting guidelines for diagnostic accuracy studies assessing AI interventions: The STARD-AI Steering Group

Sounderajah, V., Ashrafian, H., Aggarwal, R., De Fauw, J., Denniston, A. K., Greaves, F., Karthikesalingam, A., King, D., Liu, X., Markar, S. R., et al. (2020) · Nature Medicine

Meta-analysis and systematic reviewsArtificial Intelligence in Healthcare and Education

Cited by 270

Quality assessment standards in artificial intelligence diagnostic accuracy systematic reviews: a meta-research study

Jayakumar, S., Sounderajah, V., Normahani, P., Harling, L., Markar, S. R., Ashrafian, H., & Darzi, A. (2022) · npj Digital Medicine

Meta-analysis and systematic reviewsArtificial Intelligence in Healthcare and Education

Cited by 110

Metabolic surgery and obstructive sleep apnoea: the protective effects of bariatric procedures

Ashrafian, H., le Roux, C. W., Rowland, S. P., Ali, M., Cummin, A. R., Darzi, A., & Athanasiou, T. (2012) · Thorax

Bariatric Surgery and OutcomesObstructive Sleep Apnea Research

Cited by 106

Simulation for skills training in neurosurgery: a systematic review, meta-analysis, and analysis of progressive scholarly acceptance

Davids, J., Manivannan, S., Darzi, A., Giannarou, S., Ashrafian, H., & Marcus, H. J. (2021) · Neurosurgical Review

Surgical Simulation and TrainingSimulation-Based Education in Healthcare

Cited by 106

Online social networking services in the management of patients with diabetes mellitus: systematic review and meta-analysis of randomised controlled trials

Toma, T., Athanasiou, T., Harling, L., Darzi, A., & Ashrafian, H. (2014) · Diabetes Research and Clinical Practice

Mobile Health and mHealth ApplicationsDiabetes Management and Education

Cited by 85

Moving towards vertically integrated artificial intelligence development

Zhang, J., Budhdeo, S., William, W., Cerrato, P., Shuaib, H., Sood, H., Ashrafian, H., Halamka, J., & Teo, J. T. (2022) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 54

Quantifying digital health inequality across a national healthcare system

Zhang, J., Gallifant, J., Pierce, R. L., Fordham, A., Teo, J., Celi, L., & Ashrafian, H. (2023) · BMJ Health & Care Informatics

Health disparities and outcomesTechnology Use by Older Adults

Cited by 52

Threats to safe transitions from hospital to home: a consensus study in North West London primary care

Markiewicz, O., Lavelle, M., Lorencatto, F., Judah, G., Ashrafian, H., & Darzi, A. (2020) · British Journal of General Practice

Hospital Admissions and OutcomesPatient Safety and Medication Errors

Cited by 41

Evaluating the impact of a novel behavioural science informed animation upon breast cancer screening uptake: protocol for a randomised controlled trial

Acharya, A., Ashrafian, H., Cunningham, D., Ruwende, J., Darzi, A., & Judah, G. (2022) · BMC Public Health

Global Cancer Incidence and ScreeningWomen's cancer prevention and management

Cited by 4