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Towards a Connected Mobile Cataract Screening System: A Future Approach

Journal of imaging, 2022-02, Vol.8 (2), p.41 [Peer Reviewed Journal]

2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2022 by the authors. 2022 ;ISSN: 2313-433X ;EISSN: 2313-433X ;DOI: 10.3390/jimaging8020041 ;PMID: 35200743

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Title:
Towards a Connected Mobile Cataract Screening System: A Future Approach
Author: Wan Zaki, Wan Mimi Diyana ; Abdul Mutalib, Haliza ; Ramlan, Laily Azyan ; Hussain, Aini ; Mustapha, Aouache
Subjects: Age ; Artificial intelligence ; artificial intelligence (AI) ; Automation ; Cameras ; cataract ; Cataracts ; Classification ; Cornea ; Deep learning ; Diabetic retinopathy ; Digital imaging ; Health care facilities ; image processing ; imaging modalities ; Iris ; Machine learning ; Medical equipment ; Medical imaging ; Medical personnel ; Optical Coherence Tomography ; Portable equipment ; Review ; Rural areas ; Ultrasonic imaging ; Visual impairment
Is Part Of: Journal of imaging, 2022-02, Vol.8 (2), p.41
Description: Advances in computing and AI technology have promoted the development of connected health systems, indirectly influencing approaches to cataract treatment. In addition, thanks to the development of methods for cataract detection and grading using different imaging modalities, ophthalmologists can make diagnoses with significant objectivity. This paper aims to review the development and limitations of published methods for cataract detection and grading using different imaging modalities. Over the years, the proposed methods have shown significant improvement and reasonable effort towards automated cataract detection and grading systems that utilise various imaging modalities, such as optical coherence tomography (OCT), fundus, and slit-lamp images. However, more robust and fully automated cataract detection and grading systems are still needed. In addition, imaging modalities such as fundus, slit-lamps, and OCT images require medical equipment that is expensive and not portable. Therefore, the use of digital images from a smartphone as the future of cataract screening tools could be a practical and helpful solution for ophthalmologists, especially in rural areas with limited healthcare facilities.
Publisher: Switzerland: MDPI AG
Language: English
Identifier: ISSN: 2313-433X
EISSN: 2313-433X
DOI: 10.3390/jimaging8020041
PMID: 35200743
Source: Open Access: PubMed Central
AUTh Library subscriptions: ProQuest Central
ROAD: Directory of Open Access Scholarly Resources
DOAJ Directory of Open Access Journals

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Towards a Connected Mobile Cataract Screening System: A Future Approach

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