Park, Chan-Woo Seo, Sung Wook Kang, Noeul Ko, BeomSeok Choi, Byung Wook Park, ChangMin Chang, Dong Kyung Kim, Hwiuoung Kim, Hyunchul Lee, Hyunna Jang, Jinhee Ye, Jong Chul Jeon, Jong Hong Seo, Joon Beom Kim, Kwang Joon Jung, Kyu-Hwan Kim, Namkug Paek, Seungwook Shin, Soo-Yong Yoo, Soyoung Choi, Yoon Sup Kim, Youngjun Yoon, Hyung-Jin 2024-01-19T16:03:50Z 2024-01-19T16:03:50Z 2021-09-02 2020-11-02 1011-8934 https://pubs.kist.re.kr/handle/201004/117857 In recent years, artificial intelligence (AI) technologies have greatly advanced and become a reality in many areas of our daily lives. In the health care field, numerous efforts are being made to implement the AI technology for practical medical treatments. With the rapid developments in machine learning algorithms and improvements in hardware performances, the AI technology is expected to play an important role in effectively analyzing and utilizing extensive amounts of health and medical data. However, the AI technology has various unique characteristics that are different from the existing health care technologies. Subsequently, there are a number of areas that need to be supplemented within the current health care system for the AI to be utilized more effectively and frequently in health care. In addition, the number of medical practitioners and public that accept AI in the health care is still low; moreover, there are various concerns regarding the safety and reliability of AI technology implementations. Therefore, this paper aims to introduce the current research and application status of AI technology in health care and discuss the issues that need to be resolved. English KOREAN ACAD MEDICAL SCIENCES DIABETIC-RETINOPATHY BIG DATA MACHINE VALIDATION DIAGNOSIS Artificial Intelligence in Health Care: Current Applications and Issues Article 10.3346/jkms.2020.35.e379 1 JOURNAL OF KOREAN MEDICAL SCIENCE, v.35, no.42 JOURNAL OF KOREAN MEDICAL SCIENCE 35 42 scie scopus kci ART002642144 000586895000005 2-s2.0-85095399559 Medicine, General & Internal General & Internal Medicine Review DIABETIC-RETINOPATHY BIG DATA MACHINE VALIDATION DIAGNOSIS Artificial Intelligence Machine Learning Health Care Application Issue