Prospective evaluation of an artificial intelligence-enabled algorithm for automated diabetic retinopathy screening of 30 000 patients
Peter Heydon(Moorfields Eye Hospital), Alicja R. Rudnicka, Laura Webster(Guy's and St Thomas' NHS Foundation Trust), Adnan Tufail(Moorfields Eye Hospital), Louis Bolter(Homerton University Hospital), Catherine Egan(Maine Farmland Trust), Christopher G. Owen(St George's, University of London), Ryan Chambers(Homerton University Hospital), Alain Du Chemin(Guy's and St Thomas' NHS Foundation Trust), Samantha Mann(Guy's and St Thomas' NHS Foundation Trust), S J Aldington(London Postgraduate Medical and Dental Education), John Anderson(Homerton University Hospital), Irene Stratton(Cheltenham General Hospital), Peter H. Scanlon(Gloucestershire Hospitals NHS Foundation Trust)
Cited by 178
Related Papers
Predicting adult obesity from childhood obesity: a systematic review and meta‐analysis
|Obesity Reviews|2015|2.1k
Large Scale Population Assessment of Physical Activity Using Wrist Worn Accelerometers: The UK Biobank Study
|PLoS ONE|2017|1.3k
Effect of Infant Feeding on the Risk of Obesity Across the Life Course: A Quantitative Review of Published Evidence
|PEDIATRICS|2005|1.2k
First-Trimester or Second-Trimester Screening, or Both, for Down's Syndrome
|New England Journal of Medicine|2005|1.1k
An Ensemble Classification-Based Approach Applied to Retinal Blood Vessel Segmentation
|IEEE Transactions on Biomedical Engineering|2012|1k