연하장애 분야의 인공지능 적용
Application of Artificial Intelligence in the Area of Dysphagia
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The development and performance of Artificial intelligence (AI) have been revolutionary ever since adoption of deeplearning 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 commonplatforms. Importance of data acquisition is increasingly emphasized for AI learning. Digitalization of imagesand medical records will contribute greatly to the application of AI technology in medical fields. Support systemsfor reading diagnostic images and decision-making for patient care are currently under development, depending onthe efficiency and precision of AI. Evaluation and management of dysphasia can be potentiated by AI, althoughthere 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 dysphagiapatients will be possible through more active research on the utilization of AI technology.
Abstract
The development and performance of Artificial intelligence (AI) have been revolutionary ever since adoption of deeplearning 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 commonplatforms. Importance of data acquisition is increasingly emphasized for AI learning. Digitalization of imagesand medical records will contribute greatly to the application of AI technology in medical fields. Support systemsfor reading diagnostic images and decision-making for patient care are currently under development, depending onthe efficiency and precision of AI. Evaluation and management of dysphasia can be potentiated by AI, althoughthere 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 dysphagiapatients will be possible through more active research on the utilization of AI technology.
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