4.6 Review

Applications of deep learning for the analysis of medical data

Journal

ARCHIVES OF PHARMACAL RESEARCH
Volume 42, Issue 6, Pages 492-504

Publisher

PHARMACEUTICAL SOC KOREA
DOI: 10.1007/s12272-019-01162-9

Keywords

Artificial intelligence; Deep neural networks; Drug discovery; Medical image analysis

Funding

  1. Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI) - Ministry of Health Welfare [HI15C2854]

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Over the past decade, deep learning has demonstrated superior performances in solving many problems in various fields of medicine compared with other machine learning methods. To understand how deep learning has surpassed traditional machine learning techniques, in this review, we briefly explore the basic learning algorithms underlying deep learning. In addition, the procedures for building deep learning-based classifiers for seizure electroencephalograms and gastric tissue slides are described as examples to demonstrate the simplicity and effectiveness of deep learning applications. Finally, we review the clinical applications of deep learning in radiology, pathology, and drug discovery, where deep learning has been actively adopted. Considering the great advantages of deep learning techniques, deep learning will be increasingly and widely utilized in a wide variety of different areas in medicine in the coming decades.

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