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Paper Details

A Clinician's Guide to Artificial Intelligence: How to Critically Appraise Machine Learning Studies.
Transl Vis Sci Technol
79
2020
Author NameAffiliation
Livia FaesMoorfields Eye Hospital NHS Foundation Trust
Livia FaesEye Clinic, Cantonal Hospital of Lucerne
Xiaoxuan LiuMoorfields Eye Hospital NHS Foundation Trust
Xiaoxuan LiuUniversity Hospitals Birmingham NHS Foundation Trust
Xiaoxuan LiuInstitute of Inflammation & Ageing, College of Medical and Dental Sciences, University of Birmingham
Xiaoxuan Liu
Siegfried K WagnerNIHR Biomedical Research Centre for Ophthalmology, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology
Dun Jack FuMoorfields Eye Hospital NHS Foundation Trust
Konstantinos BalaskasMoorfields Eye Hospital NHS Foundation Trust
Konstantinos BalaskasNIHR Biomedical Research Centre for Ophthalmology, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology
Dawn A SimMoorfields Eye Hospital NHS Foundation Trust
Dawn A SimNIHR Biomedical Research Centre for Ophthalmology, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology
Pearse A KeaneNIHR Biomedical Research Centre for Ophthalmology, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology
Alastair K DennistonUniversity Hospitals Birmingham NHS Foundation Trust
Alastair K DennistonInstitute of Inflammation & Ageing, College of Medical and Dental Sciences, University of Birmingham
Alastair K Denniston
Alastair K DennistonNIHR Biomedical Research Centre for Ophthalmology, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology
Alastair K DennistonInstitute of Applied Health Research, University of Birmingham
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