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Medical accident compensation systems in obstetrics: a comparison among Korea, Japan, and Taiwan, with suggestions for Korea

Lee KN, Kim SH, Lee SJ, Jang W, Na S, Kim SY

Purpose: Korea’s medical accident compensation system is a vital national initiative designed to create a stable environment for both mothers and healthcare professionals. This article examines how Korea's neighboring countries,...
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Applications and challenges of artificial intelligence in obstetrics and gynecology: a narrative review

Lee YK

Purpose: The integration of artificial intelligence (AI), especially deep learning techniques, is revolutionizing obstetrics and gynecology. AI algorithms can analyze complex medical data, including imaging and genomics, to manage high-risk...
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Prospects and applications of artificial intelligence and large language models in obstetrics and gynecology education: a narrative review

Eoh KJ

Purpose: This review examines how artificial intelligence (AI) and large language models (LLMs) can meet the diverse demands of obstetrics and gynecology education. Based on an exploration of their applications,...
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The educational administrator and the pioneer of general thoracic surgery in Korea, Pyung-Kan Koh

Choi EK, Kwon TH

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Healthcare election promises by members of the 22nd National Assembly’s Health and Welfare Committee of Korea

Hwang J, Choi Yj

Purpose: This study aimed to identify the healthcare election promises made by political parties whose members participate in the Health and Welfare Committee of the 22nd National Assembly. We evaluated...
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Methods for correcting presbyopia

Kim JY

Purpose: Presbyopia refers to the loss of the eye’s ability to accommodate and focus on objects at various distances as a person ages, typically starting with difficulty focusing on near...
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Guest editorial introduction to the special issue on “Application of Artificial Intelligence in Obstetrics and Gynecology”

Kim YJ

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