A novelty route for smartphone-based artificial intelligence approach to ophthalmic screening.

Journal of the Chinese Medical Association : JCMA
Ying-Chun JhengDe-Kuang Hwang

Abstract

Artificial intelligence (AI) has been widely applied in the medical field and achieved enormous milestones in helping specialists to make diagnosis and remedy decisions, particularly in the field of eye diseases and ophthalmic screening. With the development of AI-based systems, the enormous hardware and software resources are required for optimal performance. In reality, there are many places on the planet where such resources are highly limited. Hence, the smartphone-based AI systems can be used to provide a remote control route to quickly screen eye diseases such as diabetic-related retinopathy or diabetic macular edema. However, the performance of such mobile-based AI systems is still uncharted territory. In this article, we discuss the issues of computing resource consumption and performance of the mobile device-based AI systems and highlight recent research on the feasibility and future potential of application of the mobile device-based AI systems in telemedicine.

References

Nov 20, 2009·Neural Computation·Srinivas C TuragaH Sebastian Seung
Aug 5, 2018·Progress in Retinal and Eye Research·Ursula Schmidt-ErfurthHrvoje Bogunović
Jan 22, 2019·Theranostics·De-Kuang HwangShih-Hwa Chiou
Jul 13, 2019·Neural Networks : the Official Journal of the International Neural Network Society·Brijraj SinghSharan Kumar Allur
Aug 25, 2019·Medical Hypotheses·Suat ToramanFerhat Balgetir

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