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Towards a Connected Mobile Cataract Screening System: A Future Approach.

Wan Mimi Diyana Wan Zaki¹, Haliza Abdul Mutalib², Laily Azyan Ramlan¹

¹Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia (UKM), Bangi 43600, Malaysia.

Journal of Imaging

|February 24, 2022

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This summary is machine-generated.

AI and computing advance connected health, improving objective cataract detection. While current imaging methods show progress, smartphone imaging offers a practical future for widespread cataract screening.

Area of Science:

Ophthalmology
Medical Imaging
Artificial Intelligence

Background:

Connected health systems and AI are transforming medical diagnostics.
Automated methods for cataract detection and grading have improved diagnostic objectivity.

Purpose of the Study:

To review the development and limitations of current cataract detection and grading methods.
To explore the potential of smartphone imaging for future cataract screening.

Main Methods:

Review of published methods for cataract detection and grading.
Analysis of various imaging modalities including optical coherence tomography (OCT), fundus, and slit-lamp images.
Assessment of the feasibility of using smartphone digital images.

Keywords:

artificial intelligence (AI)cataract image processing imaging modalities

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Main Results:

Significant improvements and efforts towards automated cataract detection and grading systems have been observed.
Existing imaging modalities (OCT, fundus, slit-lamp) require expensive, non-portable equipment.
Smartphone imaging presents a practical alternative for cataract screening.

Conclusions:

More robust and fully automated cataract detection and grading systems are still required.
Smartphone-based cataract screening offers a practical and accessible solution, particularly for rural areas.
Digital imaging via smartphones could revolutionize early cataract detection and management.