Darzi, Ara

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

Systematic review of the application of the plan–do–study–act method to improve quality in healthcare

Taylor, M. J., McNicholas, C., Nicolay, C., Darzi, A., Bell, D., & Reed, J. E. (2014) · BMJ Quality & Safety

Healthcare Quality and ManagementHealth Policy Implementation Science

Cited by 1,871

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., 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

Patient-reported outcome measures: the importance of patient satisfaction in surgery

Chow, A., Mayer, E. K., Darzi, A. W., & Athanasiou, T. (2009) · Surgery

Patient Satisfaction in HealthcareHealthcare Quality and Management

Cited by 356

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

‘Gamification’: Influencing health behaviours with games

King, D., Greaves, F., Exeter, C., & Darzi, A. (2013) · Journal of the Royal Society of Medicine

Educational Games and GamificationMobile Health and mHealth Applications

Cited by 319

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

Harnessing the cloud of patient experience: using social media to detect poor quality healthcare

Greaves, F., Ramirez-Cano, D., Millett, C., Darzi, A., & Donaldson, L. (2013) · BMJ Quality & Safety

Patient Satisfaction in HealthcareSentiment Analysis and Opinion Mining

Cited by 272

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

Medication Adherence Apps: Review and Content Analysis

Ahmed, I., Ahmad, N. S., Ali, S., Ali, S., George, A., Saleem Danish, H., Uppal, E., Soo, J., Mobasheri, M. H., King, D., et al. (2018) · JMIR mHealth and uHealth

Mobile Health and mHealth ApplicationsMedication Adherence and Compliance

Cited by 221

An introduction to digital determinants of health

Chidambaram, S., Jain, B., Jain, U., Mwavu, R., Baru, R., Thomas, B., Greaves, F., Jayakumar, S., Jain, P., Rojo, M., et al. (2024) · PLOS Digital Health

Health Literacy and Information AccessibilityTechnology Use by Older Adults

Cited by 175

LLM-based agentic systems in medicine and healthcare

Qiu, J., Lam, K., Li, G., Acharya, A., Wong, T. Y., Darzi, A., Yuan, W., & Topol, E. J. (2024) · Nature Machine Intelligence

Artificial Intelligence in Healthcare and EducationTechnology and Human Factors in Education and Health

Cited by 168

PRISMA AI reporting guidelines for systematic reviews and meta-analyses on AI in healthcare

Cacciamani, G. E., Chu, T. N., Sanford, D. I., Abreu, A., Duddalwar, V., Oberai, A., Kuo, C.-C. J., Liu, X., Denniston, A. K., Vasey, B., et al. (2023) · Nature Medicine

Meta-analysis and systematic reviewsArtificial Intelligence in Healthcare and Education

Cited by 143

Mental Practice: Effective Stress Management Training for Novice Surgeons

Arora, S., Aggarwal, R., Moran, A., Sirimanna, P., Crochet, P., Darzi, A., Kneebone, R., & Sevdalis, N. (2011) · Journal of the American College of Surgeons

Surgical Simulation and TrainingSport Psychology and Performance

Cited by 140

Smartphone breast applications – What's the evidence?

Mobasheri, M. H., Johnston, M., King, D., Leff, D., Thiruchelvam, P., & Darzi, A. (2014) · The Breast

Mobile Health and mHealth ApplicationsMobile Learning in Education

Cited by 137

The human gut microbiome: Implications for future health care

Kinross, J. M., von Roon, A. C., Holmes, E., Darzi, A., & Nicholson, J. K. (2008) · Current Gastroenterology Reports

Gut microbiota and healthGastrointestinal motility and disorders

Cited by 137

Explicit Bias Toward High-Income-Country Research: A Randomized, Blinded, Crossover Experiment of English Clinicians

Harris, M., Marti, J., Watt, H., Bhatti, Y., Macinko, J., & Darzi, A. W. (2017) · Health Affairs

Meta-analysis and systematic reviewsscientometrics and bibliometrics research

Cited by 119

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