Denniston, Alastair K
University Hospitals Birmingham NHS Foundation Trust · University of Birmingham
30 papers on CoChatORCID 0000-0001-7849-0087
Most cited papers
- Verified
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
Collins, G. S., Moons, K. G. M., Dhiman, P., Riley, R. D., Beam, A. L., Van Calster, B., Ghassemi, M., Liu, X., Reitsma, J. B., van Smeden, M., et al. (2024) · BMJ
Meta-analysis and systematic reviewsStatistical Methods in Epidemiology
Cited by 4,718
- 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
The Lancet Global Health Commission on Global Eye Health: vision beyond 2020
Burton, M. J., Ramke, J., Marques, A. P., Bourne, R. R. A., Congdon, N., Jones, I., Ah Tong, B. A. M., Arunga, S., Bachani, D., Bascaran, C., et al. (2021) · The Lancet Global Health
Ophthalmology and Visual Impairment StudiesGlaucoma and retinal disorders
Cited by 1,624
- 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
PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods
Moons, K. G. M., Damen, J. A. A., Kaul, T., Hooft, L., Andaur Navarro, C., Dhiman, P., Beam, A. L., Van Calster, B., Celi, L. A., Denaxas, S., et al. (2025) · BMJ
Meta-analysis and systematic reviewsStatistical Methods in Epidemiology
Cited by 1,069
- 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
A foundation model for generalizable disease detection from retinal images
Zhou, Y., Chia, M. A., Wagner, S. K., Ayhan, M. S., Williamson, D. J., Struyven, R. R., Liu, T., Xu, M., Lozano, M. G., Woodward-Court, P., et al. (2023) · Nature
Retinal Imaging and AnalysisOphthalmology and Visual Health Research
Cited by 1,014
- 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 guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI Extension
Liu, X., Rivera, S. C., Moher, D., Calvert, M. J., & Denniston, A. K. (2020) · BMJ
Meta-analysis and systematic reviewsArtificial Intelligence in Healthcare and Education
Cited by 702
- 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
Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI Extension
Rivera, S. C., Liu, X., Chan, A.-W., Denniston, A. K., & Calvert, M. J. (2020) · BMJ
Meta-analysis and systematic reviewsArtificial Intelligence in Healthcare and Education
Cited by 463
- Verified
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
- Verified
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
- Verified
Health data poverty: an assailable barrier to equitable digital health care
Ibrahim, H., Liu, X., Zariffa, N., Morris, A. D., & Denniston, A. K. (2021) · The Lancet Digital Health
Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI
Cited by 326
- Verified
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
- Verified
The medical algorithmic audit
Liu, X., Glocker, B., McCradden, M. M., Ghassemi, M., Denniston, A. K., & Oakden-Rayner, L. (2022) · The Lancet Digital Health
Artificial Intelligence in Healthcare and EducationExplainable Artificial Intelligence (XAI)
Cited by 266
- Verified
Characteristics of publicly available skin cancer image datasets: a systematic review
Wen, D., Khan, S. M., Ji Xu, A., Ibrahim, H., Smith, L., Caballero, J., Zepeda, L., de Blas Perez, C., Denniston, A. K., Liu, X., et al. (2022) · The Lancet Digital Health
Cutaneous Melanoma Detection and ManagementAI in cancer detection
Cited by 243
- Verified
AI, Health, and Health Care Today and Tomorrow: The JAMA Summit Report on Artificial Intelligence
Angus, D. C., Khera, R., Lieu, T., Liu, V., Ahmad, F. S., Anderson, B., Bhavani, S. V., Bindman, A., Brennan, T., Celi, L. A., et al. (2025) · JAMA
Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI
Cited by 195
- Verified
Stakeholder Perspectives of Clinical Artificial Intelligence Implementation: Systematic Review of Qualitative Evidence
Hogg, H. D. J., Al-Zubaidy, M., Technology Enhanced Macular Services Study Reference Group, Talks, J., Denniston, A. K., Kelly, C. J., Malawana, J., Papoutsi, C., Teare, M. D., Keane, P. A., et al. (2023) · Journal of Medical Internet Research
Artificial Intelligence in Healthcare and EducationHealth Policy Implementation Science
Cited by 163
- 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
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
- Verified
Hydroxychloroquine-related retinal toxicity
Ding, H. J., Denniston, A. K., Rao, V. K., & Gordon, C. (2016) · Rheumatology
Drug-Induced Ocular ToxicityOcular and Laser Science Research
Cited by 100
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