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Article

Review Article

J Korean Dysphagia Soc 2020; 10(1): 4-9

Published online January 30, 2020

Copyright © The Korean Dysphagia Society.

Application of Artificial Intelligence in the Area of Dysphagia

Seong Jae Lee, M.D.

Department of Rehabilitation Medicine, College of Medicine, Dankook University, Cheonan, Korea

Abstract

The development and performance of Artificial intelligence (AI) have been revolutionary ever since adoption of deep learning algorithms. It is expected that AI will induce tremendous changes in many parts of society and industry, including medicine. The spread of AI is accelerated by the availability of extensive Open Source Libraries and common platforms. Importance of data acquisition is increasingly emphasized for AI learning. Digitalization of images and medical records will contribute greatly to the application of AI technology in medical fields. Support systems for reading diagnostic images and decision-making for patient care are currently under development, depending on the efficiency and precision of AI. Evaluation and management of dysphasia can be potentiated by AI, although there is not much research in this field. Automated reading of videofluoroscopy, analysis of cervical auscultation, and dysphagia coaching system have all shown promising results. Hopefully, safer and more efficient care of dysphagia patients will be possible through more active research on the utilization of AI technology.

Keywords: Artificial intelligence, Machine learning, Deglutition disorders

Article

Review Article

J Korean Dysphagia Soc 2020; 10(1): 4-9

Published online January 30, 2020

Copyright © The Korean Dysphagia Society.

Application of Artificial Intelligence in the Area of Dysphagia

Seong Jae Lee, M.D.

Department of Rehabilitation Medicine, College of Medicine, Dankook University, Cheonan, Korea

Abstract

The development and performance of Artificial intelligence (AI) have been revolutionary ever since adoption of deep learning algorithms. It is expected that AI will induce tremendous changes in many parts of society and industry, including medicine. The spread of AI is accelerated by the availability of extensive Open Source Libraries and common platforms. Importance of data acquisition is increasingly emphasized for AI learning. Digitalization of images and medical records will contribute greatly to the application of AI technology in medical fields. Support systems for reading diagnostic images and decision-making for patient care are currently under development, depending on the efficiency and precision of AI. Evaluation and management of dysphasia can be potentiated by AI, although there is not much research in this field. Automated reading of videofluoroscopy, analysis of cervical auscultation, and dysphagia coaching system have all shown promising results. Hopefully, safer and more efficient care of dysphagia patients will be possible through more active research on the utilization of AI technology.

Keywords: Artificial intelligence, Machine learning, Deglutition disorders

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