With an eye to AI and autonomous diagnosis
Open Access
- 28 August 2018
- journal article
- editorial
- Published by Springer Science and Business Media LLC in npj Digital Medicine
- Vol. 1 (1), 1-3
- https://doi.org/10.1038/s41746-018-0048-y
Abstract
No abstract availableKeywords
This publication has 8 references indexed in Scilit:
- Pivotal trial of an autonomous AI-based diagnostic system for detection of diabetic retinopathy in primary care officesnpj Digital Medicine, 2018
- Opportunities and obstacles for deep learning in biology and medicineJournal of The Royal Society Interface, 2018
- Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep LearningCell, 2018
- Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus PhotographsJAMA, 2016
- Diagnostic Accuracy of Digital Screening Mammography With and Without Computer-Aided DetectionJAMA Internal Medicine, 2015
- Deep learningNature, 2015
- Attitudes, access and anguish: a qualitative interview study of staff and patients’ experiences of diabetic retinopathy screeningBMJ Open, 2014
- Reporting quality of diagnostic accuracy studies: a systematic review and meta-analysis of investigations on adherence to STARDBMJ Evidence-Based Medicine, 2013