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Machine learning in optometry

Che Azemin, Mohd Zulfaezal (2021) Machine learning in optometry. International Journal of Allied Health Sciences, 5 (3 Special Issue). E-ISSN 2600-8491

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Our previous works have shown the importance of incorporating mathematical models to provide objective quantification in clinical settings. This includes aiding optometrists to make clinical decision based on validated scientific data, not by mere hunches or instincts. We have demonstrated that with the right tool, the application of machine learning – a branch of artificial intelligence – can be leveraged to benefit areas in healthcare including optometry. The aim of this presentation is to provide introductory knowledge to the audience who have little or no knowledge of machine learning with examples of its applications in optometry. To better understand the machine learning concept, hypothetical data of glaucoma cases will be presented. The applications of machine learning in clinical and biomedical domains will be briefly demonstrated based on author’s own research and recent examples available from the literature.

Item Type: Article (other)
Subjects: R Medicine > RE Ophthalmology
T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Allied Health Sciences
Kulliyyah of Allied Health Sciences > Department of Optometry and Visual Science
Depositing User: Dr. Mohd Zulfaezal Che Azemin
Date Deposited: 18 Nov 2021 12:06
Last Modified: 18 Nov 2021 12:06
URI: http://irep.iium.edu.my/id/eprint/93814

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