64 results  1 of 4 

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
Healthc Inform Res.2020;26(4):328-334.   Published online 2020 October 31     DOI: http://dx.doi.org/10.4258/hir.2020.26.4.328
      
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
J Korean Med Sci.2020;35(42):e379.  Published online 2020 October 27     DOI: http://dx.doi.org/10.3346/jkms.2020.35.e379
      
3 Medical Ethics in the Era of Artificial Intelligence Based on Medical Big Data
Hae-Ran Na, Hun-Sung Kim
J Korean Diabetes.2020;21(3):126-129.   Published online 2020 September 30     DOI: http://dx.doi.org/10.4093/jkd.2020.21.3.126
      
4 Machine Learning Application in Diabetes and Endocrine Disorders
Namki Hong, Heajeong Park, Yumie Rhee
J Korean Diabetes.2020;21(3):130-139.   Published online 2020 September 30     DOI: http://dx.doi.org/10.4093/jkd.2020.21.3.130
      
5 Real World Data and Artificial Intelligence in Diabetology
Kwang Joon Kim
J Korean Diabetes.2020;21(3):140-148.   Published online 2020 September 30     DOI: http://dx.doi.org/10.4093/jkd.2020.21.3.140
      
6 Out-of-Hospital Data: Patient Generated Health Data
Jisan Lee, Hun-Sung Kim, Jeongeun Kim
J Korean Diabetes.2020;21(3):149-155.   Published online 2020 September 30     DOI: http://dx.doi.org/10.4093/jkd.2020.21.3.149
      
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
      
8 Medicine in the Fourth Industrial Revolution: What Should We Prepare?
Eunsol Lee
J Korean Diabetes.2020;21(1):1-5.   Published online 2020 March 31     DOI: http://dx.doi.org/10.4093/jkd.2020.21.1.1
      
9 Deep Learning in Upper Gastrointestinal Disorders: Status and Future Perspectives
Chang Seok Bang
Korean J Gastroenterol.2020;75(3):120-131.   Published online 2020 March 25     DOI: http://dx.doi.org/10.4166/kjg.2020.75.3.120
      
10 Machine Learning Applications in Endocrinology and Metabolism Research: An Overview
Namki Hong, Heajeong Park, Yumie Rhee
Endocrinol Metab.2020;35(1):71-84.   Published online 2020 March 19     DOI: http://dx.doi.org/10.3803/EnM.2020.35.1.71
   
11 Artificial intelligence, machine learning, and deep learning in women’s health nursing
Geum Hee Jeong
Korean J Women Health Nurs.2020;26(1):5-9.   Published online 2020 March 17     DOI: http://dx.doi.org/10.4069/kjwhn.2020.03.11
      
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
      
13 Medical Big Data Is Not Yet Available: Why We Need Realism Rather than Exaggeration
Hun-Sung Kim, Dai-Jin Kim, Kun-Ho Yoon
Endocrinol Metab.2019;34(4):349-354.   Published online 2019 December 23     DOI: http://dx.doi.org/10.3803/EnM.2019.34.4.349
      
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
      
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
      
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
Healthc Inform Res.2019;25(4):248-261.   Published online 2019 October 31     DOI: http://dx.doi.org/10.4258/hir.2019.25.4.248
      
17 Current status and future direction of digital health in Korea
Soo-Yong Shin
Korean J Physiol Pharmacol.2019;23(5):311-315.   Published online 2019 August 26     DOI: http://dx.doi.org/10.4196/kjpp.2019.23.5.311
      
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
      
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
Korean J Neurotrauma.2019;15(2):88-94.   Published online 2019 August 14     DOI: http://dx.doi.org/10.13004/kjnt.2019.15.e17
      
20 Medical Image Analysis Using Artificial Intelligence
Hyun Jin Yoon, Young Jin Jeong, Hyun Kang, Ji Eun Jeong, Do-Young Kang
Prog Med Phys.2019;30(2):49-58.   Published online 2019 June 26     DOI: http://dx.doi.org/10.14316/pmp.2019.30.2.49
      

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