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| 1 |
Impact of the Fourth Industrial Revolution on the Health Sector: A Qualitative Study
João António Gomes de Melo e Castro e Melo, Nuno Miguel Faria Araújo
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| 2 |
Artificial Intelligence in Health Care: Current Applications and Issues
Chan-Woo Park, Sung Wook Seo, Noeul Kang, BeomSeok Ko, Byung Wook Choi, Chang Min Park, Dong Kyung Chang, Hwiuoung Kim, Hyunchul Kim, Hyunna Lee, Jinhee Jang, Jong Chul Ye, Jong Hong Jeon, Joon Beom Seo, Kwang Joon Kim, Kyu-Hwan Jung, Namkug Kim, Seungwook Paek, Soo-Yong Shin, Soyoung Yoo, Yoon Sup Choi, Youngjun Kim, Hyung-Jin Yoon
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| 3 |
Medical Ethics in the Era of Artificial Intelligence Based on Medical Big Data
Hae-Ran Na, Hun-Sung Kim
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| 4 |
Machine Learning Application in Diabetes and Endocrine Disorders
Namki Hong, Heajeong Park, Yumie Rhee
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| 5 |
Real World Data and Artificial Intelligence in Diabetology
Kwang Joon Kim
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| 6 |
Out-of-Hospital Data: Patient Generated Health Data
Jisan Lee, Hun-Sung Kim, Jeongeun Kim
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| 7 |
Deep Learning in Radiation Oncology
Wonjoong Cheon, Haksoo Kim, Jinsung Kim
Prog Med Phys.2020;31(3):111-123. Published online 2020 September 30
DOI: http://dx.doi.org/10.14316/pmp.2020.31.3.111
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| 8 |
Medicine in the Fourth Industrial Revolution: What Should We Prepare?
Eunsol Lee
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| 9 |
Deep Learning in Upper Gastrointestinal Disorders: Status and Future Perspectives
Chang Seok Bang
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| 10 |
Machine Learning Applications in Endocrinology and Metabolism Research: An Overview
Namki Hong, Heajeong Park, Yumie Rhee
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| 11 |
Artificial intelligence, machine learning, and deep learning in women’s health nursing
Geum Hee Jeong
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| 12 |
Radiomics and Deep Learning: Hepatic Applications
Hyo Jung Park, Bumwoo Park, Seung Soo Lee
Korean J Radiol.2020;21(4):387-401. Published online 2020 March 4
DOI: http://dx.doi.org/10.3348/kjr.2019.0752
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| 13 |
Medical Big Data Is Not Yet Available: Why We Need Realism Rather than Exaggeration
Hun-Sung Kim, Dai-Jin Kim, Kun-Ho Yoon
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| 14 |
Development and Validation of a Deep Learning System for Segmentation of Abdominal Muscle and Fat on Computed Tomography
Hyo Jung Park, Yongbin Shin, Jisuk Park, Hyosang Kim, In Seob Lee, Dong-Woo Seo, Jimi Huh, Tae Young Lee, TaeYong Park, Jeongjin Lee, Kyung Won Kim
Korean J Radiol.2020;21(1):88-100. Published online 2019 December 16
DOI: http://dx.doi.org/10.3348/kjr.2019.0470
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| 15 |
Basics of Deep Learning: A Radiologist's Guide to Understanding Published Radiology Articles on Deep Learning
Synho Do, Kyoung Doo Song, Joo Won Chung
Korean J Radiol.2020;21(1):33-41. Published online 2019 December 6
DOI: http://dx.doi.org/10.3348/kjr.2019.0312
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| 16 |
Artificial Intelligence Applications in Type 2 Diabetes Mellitus Care: Focus on Machine Learning Methods
Shahabeddin Abhari, Sharareh R. Niakan Kalhori, Mehdi Ebrahimi, Hajar Hasannejadasl, Ali Garavand
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| 17 |
Current status and future direction of digital health in Korea
Soo-Yong Shin
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| 18 |
Development and External Validation of a Deep Learning Algorithm for Prognostication of Cardiovascular Outcomes
In-Jeong Cho, Ji Min Sung, Hyeon Chang Kim, Sang-Eun Lee, Myeong-Hun Chae, Maryam Kavousi, Oscar L. Rueda-Ochoa, M. Arfan Ikram, Oscar H. Franco, James K Min, Hyuk-Jae Chang
Korean Circ J.2020;50(1):72-84. Published online 2019 August 19
DOI: http://dx.doi.org/10.4070/kcj.2019.0105
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| 19 |
Application of Deep Learning System into the Development of Communication Device for Quadriplegic Patient
Jung Hwan Lee, Taewoo Kang, Byung Kwan Choi, In Ho Han, Byung Chul Kim, Jung Hoon Ro
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| 20 |
Medical Image Analysis Using Artificial Intelligence
Hyun Jin Yoon, Young Jin Jeong, Hyun Kang, Ji Eun Jeong, Do-Young Kang
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