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

Hongyan Xu, Jiaxin Chen, Tingting Tang, Shouhua Yang
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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.
基于人工智能的眼科诊疗护理复合型人才培养路径
人工智能可以有效提高医学诊断、临床数据分析、医学图像识别、治疗方案决策等方面的效率和准确性。在眼科诊断、治疗、护理行业具有广阔的应用前景。然而,人工智能在国内眼科诊断护理行业的应用起步较晚,熟悉人工智能技术的眼科诊断护理人员不足。为推动中国眼科医学现代化,加快建设高质量的现代医学教育体系,有必要培养新一代熟练掌握人工智能的复合型眼医学人才,发展适应眼科专业和社会需要的先进人才培养模式。基于人工智能在眼科行业的应用现状和发展前景,分析了目前眼科医学教育模式,探讨了培养眼科诊断、治疗、护理复合型人才的路径,并提出了构建高质量、现代化的医学教育体系的建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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