Emergence of non-artificial intelligence digital health innovations in ophthalmology: A systematic review
- PMID: 34235833
- DOI: 10.1111/ceo.13971
Emergence of non-artificial intelligence digital health innovations in ophthalmology: A systematic review
Abstract
The prominent rise of digital health in ophthalmology is evident in the current age of Industry 4.0. Despite the many facets of digital health, there has been a greater slant in interest and focus on artificial intelligence recently. Other major elements of digital health like wearables could also substantially impact patient-focused outcomes but have been relatively less explored and discussed. In this review, we comprehensively evaluate the use of non-artificial intelligence digital health tools in ophthalmology. 53 papers were included in this systematic review - 25 papers discuss virtual or augmented reality, 14 discuss mobile applications and 14 discuss wearables. Most papers focused on the use of technologies to detect or rehabilitate visual impairment, glaucoma and age-related macular degeneration. Overall, the findings on patient-focused outcomes with the adoption of these technologies are encouraging. Further validation, large-scale studies and earlier consideration of real-world barriers are warranted to enable better real-world implementation.
Keywords: digital health; mHealth; ophthalmology; virtual reality; wearables.
© 2021 Royal Australian and New Zealand College of Ophthalmologists.
References
REFERENCES
-
- What is Digital Health? U.S. Food & Drug Administration. 2020. https://www.fda.gov/medical-devices/digital-health-center-excellence/wha....
-
- Digital Health Market Size, Share & Trends Analysis Report By Technology (Healthcare Analytics, mHealth), By Component (Software, Services), By Region, And Segment Forecasts, 2021-2028: Grand View Research. 2021. https://www.grandviewresearch.com/industry-analysis/digital-health-market.
-
- Artificial Intelligence in Healthcare Market Size, Share & Trends Analysis Report By Component (Software Solutions, Hardware, Service), By Application (Robot Assisted Surgery, Connected Machines, Clinical Trials), And Segment Forecasts, 2021-2028: Grand View Research. 2021. https://www.grandviewresearch.com/industry-analysis/artificial-intellige....
-
- Secinaro S, Calandra D, Secinaro A, Muthurangu V, Biancone P. The role of artificial intelligence in healthcare: a structured literature review. BMC Med Inform Decis Mak. 2021;21(1):125.
-
- Nagendran M, Chen Y, Lovejoy CA, et al. Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies. BMJ. 2020;368:m689.
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