Open AccessA novelty route for smartphone-based artificial intelligence approach to ophthalmic screening
Author(s) -
Ying Chun Jheng,
Yu Bai Chou,
Chung Lan Kao,
Aliaksandr A. Yarmishyn,
Chih-Chien Hsu,
TzuChin Lin,
Po Yin Chen,
Zih-Kai Kao,
ShihJen Chen,
DeKuang Hwang
Publication year - 2020
Publication title -
journal of the chinese medical association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.535
H-Index - 42
eISSN - 1728-7731
pISSN - 1726-4901
DOI - 10.1097/jcma.0000000000000369
Subject(s) - novelty , medicine , telemedicine , mobile device , field (mathematics) , software , resource (disambiguation) , artificial intelligence , computer science , health care , world wide web , mathematics , pure mathematics , economics , programming language , economic growth , computer network , philosophy , theology
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.