- Artificial Intelligence in Medicine
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Jeong J
- KMID: 2424828
- Hanyang Med Rev.
- 2017 Nov;37(2):47-48.
- doi: 10.7599/hmr.2017.37.2.47
No abstract available. -
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- Concepts, Characteristics, and Clinical Validation of IBM Watson for Oncology
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Choi YS
- KMID: 2424829
- Hanyang Med Rev.
- 2017 Nov;37(2):49-60.
- doi: 10.7599/hmr.2017.37.2.49
The development of artificial intelligence revolutionizes many fields, and one of the representative fields is medical artificial intelligence. The world-renowned IBM Watson for Oncology (WFO) is a leading medical artificial... -
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- A Review of Deep Genomics Applying Machine Learning in Genomic Medicine
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Kim TH
- KMID: 2424834
- Hanyang Med Rev.
- 2017 Nov;37(2):93-98.
- doi: 10.7599/hmr.2017.37.2.93
Genomic medicine is to determine how an individual's DNA alteration can affect the risk of various diseases and to understand mechanisms and design targeted treatments. Here, we focus on how... -
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- Status and Direction of Healthcare Data in Korea for Artificial Intelligence
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Park YR, Shin SY
- KMID: 2424833
- Hanyang Med Rev.
- 2017 Nov;37(2):86-92.
- doi: 10.7599/hmr.2017.37.2.86
Recent rapid advances in artificial intelligence (AI), especially in deep learning methods, have produced meaningful results in many areas. However, to achieve meaningful results for healthcare through AI, it is... -
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- Deep Learning for Medical Image Analysis: Applications to Computed Tomography and Magnetic Resonance Imaging
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Jung KH, Park H, Hwang W
- KMID: 2424830
- Hanyang Med Rev.
- 2017 Nov;37(2):61-70.
- doi: 10.7599/hmr.2017.37.2.61
Recent advances in deep learning have brought many breakthroughs in medical image analysis by providing more robust and consistent tools for the detection, classification and quantification of patterns in medical... -
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- Introduction of Artificial Intelligence in Pathology
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Song S
- KMID: 2424832
- Hanyang Med Rev.
- 2017 Nov;37(2):77-85.
- doi: 10.7599/hmr.2017.37.2.77
Pathology has a long history of artificial intelligence (AI) as much as any other field of medicine, and has used AI algorithms continuously. However, in Korea, pathology AI is unfamiliar... -
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- Deep Learning for Cancer Screening in Medical Imaging
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Jeong J
- KMID: 2424831
- Hanyang Med Rev.
- 2017 Nov;37(2):71-76.
- doi: 10.7599/hmr.2017.37.2.71
In recent years, deep learning has been used in many researches in cancer screening based on medical imaging. Among cancer screening using optical imaging, melanoma detection is the biggest concern.... -
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