Faes, Livia
Moorfields Eye Hospital NHS Foundation Trust · NIHR Moorfields Biomedical Research Centre · University College London
11 papers on CoChatORCID 0000-0002-4159-3960
Most cited papers
- Verified
A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis
Liu, X., Faes, L., Kale, A. U., Wagner, S. K., Fu, D. J., Bruynseels, A., Mahendiran, T., Moraes, G., Shamdas, M., Kern, C., et al. (2019) · The Lancet Digital Health
Artificial Intelligence in Healthcare and EducationAI in cancer detection
Cited by 1,883
- Verified
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
- Verified
Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI
Vasey, B., Nagendran, M., Campbell, B., Clifton, D. A., Collins, G. S., Denaxas, S., Denniston, A. K., Faes, L., Geerts, B., Ibrahim, M., et al. (2022) · Nature Medicine
Artificial Intelligence in Healthcare and EducationMeta-analysis and systematic reviews
Cited by 1,039
- Verified
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
- Verified
Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI
Vasey, B., Nagendran, M., Campbell, B., Clifton, D. A., Collins, G. S., Denaxas, S., Denniston, A. K., Faes, L., Geerts, B., Ibrahim, M., et al. (2022) · BMJ
Artificial Intelligence in Healthcare and EducationMeta-analysis and systematic reviews
Cited by 665
- Verified
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
- Verified
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
- Verified
A Clinician's Guide to Artificial Intelligence: How to Critically Appraise Machine Learning Studies
Faes, L., Liu, X., Wagner, S. K., Fu, D. J., Balaskas, K., Sim, D. A., Bachmann, L. M., Keane, P. A., & Denniston, A. K. (2020) · Translational Vision Science & Technology
Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare
Cited by 162
- Verified
Extension of the CONSORT and SPIRIT statements
Liu, X., Faes, L., Calvert, M. J., & Denniston, A. K. (2019) · The Lancet
Meta-analysis and systematic reviewsStatistical Methods in Clinical Trials
Cited by 65
- Verified
Evidence assessing the diagnostic performance of medical smartphone apps: a systematic review and exploratory meta-analysis
Buechi, R., Faes, L., Bachmann, L. M., Thiel, M. A., Bodmer, N. S., Schmid, M. K., Job, O., & Lienhard, K. R. (2017) · BMJ Open
Mobile Health and mHealth ApplicationsCutaneous Melanoma Detection and Management
Cited by 50
- Verified
Visual and anatomical failure of anti-VEGF therapy for retinal vascular diseases: a survival analysis of real-world data
Fu, D. J., Mishra, A. V., Quek, C., Balaskas, K., Pontikos, N., Sim, D., Sivaprasad, S., & Faes, L. (2025) · Eye
Retinal Diseases and TreatmentsRetinal and Macular Surgery
Cited by 14
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