AIMC Topic: Optometrists

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Stakeholder Attitudes on AI Integration in Ophthalmology.

Klinische Monatsblatter fur Augenheilkunde Apr 16, 2025
Artificial intelligence (AI) is gaining widespread traction in ophthalmology, with multiple screening and diagnostic tools already being approved by U. S. and EU authorities. However, the adoption of these tools among medical professionals and their ...
Artificial Intelligence Attitude of Health Personnel Humans Ophthalmologists Optometrists Ophthalmology Stakeholder Participation
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A Cross-Sectional Survey of Optometrists in Canada Regarding Referral Patterns and a Needs Assessment for an Artificial Intelligence Referral Screening Tool for Epiretinal Membrane.

Ophthalmic surgery, lasers & imaging retina Feb 1, 2025
BACKGROUND AND OBJECTIVE: This study evaluated optometrists' referral patterns for epiretinal membrane (ERM) patients in Ontario, Canada, and their attitudes towards an artificial intelligence (AI) tool for improving referral accuracy. An anonymous o...
Humans Cross-Sectional Studies Male Artificial Intelligence Female Referral and Consultation Surveys and Questionnaires Needs Assessment Ontario Epiretinal Membrane Middle Aged Optometrists
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Diagnostic Decision-Making Variability Between Novice and Expert Optometrists for Glaucoma: Comparative Analysis to Inform AI System Design.

JMIR medical informatics Jan 29, 2025
BACKGROUND: While expert optometrists tend to rely on a deep understanding of the disease and intuitive pattern recognition, those with less experience may depend more on extensive data, comparisons, and external guidance. Understanding these variati...
Optometrists Optometry Male Middle Aged Clinical Competence Decision Making Humans Clinical Decision-Making Glaucoma Female Artificial Intelligence
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Diagnostic decisions of specialist optometrists exposed to ambiguous deep-learning outputs.

Scientific reports Mar 21, 2024
Artificial intelligence (AI) has great potential in ophthalmology. We investigated how ambiguous outputs from an AI diagnostic support system (AI-DSS) affected diagnostic responses from optometrists when assessing cases of suspected retinal disease. ...
Humans Retinal Diseases Artificial Intelligence Optometrists Tomography, Optical Coherence Deep Learning Ophthalmology
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Evaluation of an AI system for the automated detection of glaucoma from stereoscopic optic disc photographs: the European Optic Disc Assessment Study.

Eye (London, England) Jul 2, 2019
OBJECTIVES: To evaluate the performance of a deep learning based Artificial Intelligence (AI) software for detection of glaucoma from stereoscopic optic disc photographs, and to compare this performance to the performance of a large cohort of ophthal...
Glaucoma, Open-Angle ROC Curve Optometrists Europe Reproducibility of Results Optic Disk Clinical Competence Sensitivity and Specificity Predictive Value of Tests Photography Optic Nerve Diseases Diagnosis, Computer-Assisted Ophthalmologists Observer Variation False Positive Reactions Deep Learning Humans Artificial Intelligence Retrospective Studies
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