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KMID : 0191120200350420379
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Journal of Korean Medical Science
2020 Volume.35 No. 42 p.379 ~ p.379
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Artificial Intelligence in Health Care: Current Applications and Issues
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Park Chan-Woo
Seo Sung-Wook
Kang No-Eul
Ko Beom-Seok
Choi Byung-Wook
Park Chang-Min
Chang Dong-Kyung
Kim Hwi-Uoung
Kim Hyun-Chul
Lee Hyun-Na
Jang Jin-Hee
Ye Jong-Chul
Jeon Jong-Hong
Seo Joon-Beom
Kim Kwang-Joon
Jung Kyu-Hwan
Kim Nam-Kug
Paek Seung-Wook
Shin Soo-Yong
Yoo So-Young
Choi Yoon-Sup
Kim Young-Jun
Yoon Hyung-Jin
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Abstract
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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.
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KEYWORD
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Artificial Intelligence, Machine Learning, Health Care, Application, Issue
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