Cultivation Path of Compound Talents in Ophthalmic Diagnosis, Treatment, and Nursing Based on Artificial Intelligence
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Keywords

Artificial intelligence
Ophthalmology
Medical personnel training
High-quality education

DOI

10.26689/jcnr.v6i5.4387

Submitted : 2022-08-30
Accepted : 2022-09-14
Published : 2022-09-29

Abstract

Artificial intelligence can effectively improve the efficiency and accuracy of medical diagnosis, clinical data analysis, medical image recognition, treatment plan decision-making, etc. It has broad application prospects in the ophthalmic diagnosis, treatment, and nursing industry. However, the application of artificial intelligence in the ophthalmic diagnosis and nursing industry in China started relatively late, and there are insufficient ophthalmic diagnosis and nursing personnel who are familiar with artificial intelligence technologies. In order to promote the modernization of ophthalmic medicine in China and accelerate the development of a high-quality and modern medical education system, it is necessary to train a new generation of compound ophthalmic medical talents who are skilled in artificial intelligence and develop an advanced talent training model that meets the needs of the ophthalmic profession and the society. Based on the application status and development prospects of artificial intelligence in the ophthalmology industry, this paper analyzes the current medical education model in ophthalmology, examines the path of cultivating compound talents in ophthalmic diagnosis, treatment, and nursing, as well as proposes suggestions for developing a high-quality and modern medical education system.

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