Rogers, Thomas W <br/><br/>
Evaluation of an AI system for the automated detection of glaucoma from stereoscopic optic disc photographs: the European Optic Disc Assessment Study.  [electronic resource] 

 -  Eye (London, England)  11 2019 
 - 1791-1797 p.  digital 
<br/><br/> Publication Type: Comparative Study; Journal Article 
<br/><br/><label>ISSN: </label>1476-5454 
<br/><br/><label>Standard No.: </label>10.1038/s41433-019-0510-3  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Artificial Intelligence<br/>Clinical Competence<br/>Deep Learning<br/>Diagnosis, Computer-Assisted<br/>Europe<br/>False Positive Reactions<br/>Glaucoma, Open-Angle--diagnosis<br/>Humans<br/>Observer Variation<br/>Ophthalmologists<br/>Optic Disk--diagnostic imaging<br/>Optic Nerve Diseases--diagnosis<br/>Optometrists<br/>Photography<br/>Predictive Value of Tests<br/>ROC Curve<br/>Reproducibility of Results<br/>Retrospective Studies<br/>Sensitivity and Specificity