Artificial intelligence for detection of Alzheimer's disease: demonstration of real-world value is required to bridge the translational gap
- PMID: 36192348
- DOI: 10.1016/S2589-7500(22)00190-X
Artificial intelligence for detection of Alzheimer's disease: demonstration of real-world value is required to bridge the translational gap
Conflict of interest statement
CRM reports grants from Bart's Charity and National Institute for Health and Care Research (NIHR) during the study; personal fees from GE Healthcare and Biogen, grants from NIHR, Innovate UK, Tom and Sheila Springer Charity, Michael J Fox Foundation, and Alzheimer's Research UK, outside the submitted work. IU reports grants from NIHR during the study.
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A deep learning model for detection of Alzheimer's disease based on retinal photographs: a retrospective, multicentre case-control study.Lancet Digit Health. 2022 Nov;4(11):e806-e815. doi: 10.1016/S2589-7500(22)00169-8. Epub 2022 Sep 30. Lancet Digit Health. 2022. PMID: 36192349
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