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A Review of Deep Genomics Applying Machine Learning in Genomic Medicine

Kim TH

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

Park YR, Shin SY

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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Introduction of Artificial Intelligence in Pathology

Song S

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

Jeong J

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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Deep Learning for Medical Image Analysis: Applications to Computed Tomography and Magnetic Resonance Imaging

Jung KH, Park H, Hwang W

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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Concepts, Characteristics, and Clinical Validation of IBM Watson for Oncology

Choi YS

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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Artificial Intelligence in Medicine

Jeong J

No abstract available.
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