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

Ying Chun Jheng, Yu Bai Chou, Chung Lan Kao, Aliaksandr A. Yarmishyn, Chih Chien Hsu, Tai Chi Lin, Po Yin Chen, Zih Kai Kao, Shih Jen Chen, De Kuang Hwang

Research output: Contribution to journalReview articlepeer-review

2 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)898-899
Number of pages2
JournalJournal of the Chinese Medical Association
Issue number10
Publication statusPublished - Oct 2020


  • Artificial intelligence
  • Smartphone
  • Telemedicine

ASJC Scopus subject areas

  • General Medicine


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