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A Standardized Obstacle Course for Assessment of Visual Function in Ultra Low Vision and Artificial Vision

A Standardized Obstacle Course for Assessment of Visual Function in Ultra Low Vision and Artificial Vision

Published on: February 11, 2014

Optometrists' Perspectives Regarding Artificial Intelligence Aids and Contributing Retinal Images to a Repository:

Aurora Constantin¹, Malcolm Atkinson¹, Miguel Oscar Bernabeu²

¹School of Informatics, University of Edinburgh, Edinburgh, United Kingdom.

JMIR Human Factors

|May 25, 2023

Summary

Optometrists are willing to share retinal images for a national research repository and use artificial intelligence (AI) decision support. They expressed concerns about technicalities but see AI as beneficial for eye care.

Keywords:

AI AI decision support tools AI in optometry decision support digital digital tool medical perspectives of optometrists and ophthalmologists repository of ocular images research tool user studies

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Area of Science:

Ophthalmology and Optometry
Medical Imaging and Artificial Intelligence

Background:

A national repository of retinal images is being established in Scotland to aid in the development and deployment of artificial intelligence (AI) decision-support algorithms.
Research highlights the potential of AI in optometry and ophthalmology, yet adoption remains limited.

Purpose of the Study:

To identify optometrists' expectations and concerns regarding a national image research repository and AI decision support.
To gather optometrists' suggestions for enhancing eye healthcare services.
To understand ophthalmologists' interactions with optometrists.

Main Methods:

Conducted 23 semi-structured online interviews between March and August 2021.
Interview duration ranged from 30 to 60 minutes.
Analyzed transcribed and pseudonymized recordings using thematic analysis.

Main Results:

Optometrists expressed strong support for contributing retinal images to a research repository.
Key concerns included technical difficulties, standardization issues, and the effort required for data sharing.
Optometrists anticipate AI will improve collaboration and expand their primary care role in disease diagnosis and management, provided it complements rather than replaces their responsibilities.

Conclusions:

This study uniquely focuses on optometrists' perspectives on AI and data sharing in primary care settings.
Findings align with other medical disciplines, indicating widespread willingness to adopt AI for improved healthcare, coupled with concerns about training, costs, and professional practice integration.
Optometrists view a digital image-sharing infrastructure as a facilitator for better service integration and enhanced patient care.