AI can give optometrists a head start in eye disease detection.
In medicine, artificial intelligence (AI) is used to support decision-based medical tasks through knowledge- and data-intensive computer-based solutions that ultimately improve the performance of a human care provider (Patel, 2009).
AI-driven applications can outperform dermatologists in classifying suspect skin lesions and can identify pulmonary tuberculosis on chest x-rays, an area prone to expert disagreement (Buch et al, 2018). Researchers used machine learning recently to redefine traditional labels by identifying children with similar comorbidities and disabilities from mixed developmental diagnostic groups (Reynolds and Day, 2018).
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The College of Optometrists and The Association of Optometrists (AOP) warn the current self-declaration system puts more lives at risk of death or injury.
The UK Eye Care Data Hub, the most up-to-date and comprehensive model of the UK’s eye care workforce and eye diseases in one place, has been expanded to almost double the number of eye conditions and update aspects of the sector workforce data.
