Wagner, Siegfried K.

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

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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

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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

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In-Context Learning for Data-Efficient Diabetic Retinopathy Detection via Multimodal Foundation Models

Ayhan, M. S., Ong, A. Y., Ruffell, E., Wagner, S. K., Merle, D. A., & Keane, P. A. (2026) · Ophthalmology Science

Retinal Imaging and AnalysisDomain Adaptation and Few-Shot Learning

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