연하장애 분야의 인공지능 적용
Open accessAbstract
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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Integration of AI in healthcare can enhance professionals' efficiency by optimizing data management and influencing decisions.
“The integration of AI in healthcare can enhance professionals' efficiency by optimizing data management and influencing decisions(8).”
From Artificial intelligence in the diagnosis and management of dysphagia: a scoping review (2025) · cites this paper as [8]
The indexed copy’s title and citation information (pp. 4–9) identify a paper about AI in dysphagia, but the retrieved passages do not discuss healthcare professionals’ efficiency, data management, or decision-making. Searches for those concepts in English and Korean returned metadata and references rather than a passage addressing the claim. (LLM, conf=0.70)
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Cited by 1
- Authors
- Lee, S. J.
- Corresponding author
- Seong Jae Lee
- Venue
- Journal of the Korean Dysphagia Society
- Publisher
- The Korean Dysphagia Society
- Published
- 2020-01
- Volume
- 10
- Issue
- 1
- Pages
- 4-9
- ISSN
- 2233-5978 (ISSN-L)
- 2713-6191
- OpenAlex
- W3003894209
- Cited by
- 1
- References
- 0
- Citations by year
- 2025: 1
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by-nc
- Locations
- Journal of the Korean Dysphagia Society (publishedVersion, cc-by-nc)
- Topics
- Health Sciences › Health Professions › Speech and Hearing › Dysphagia Assessment and Management
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
- Keywords
- artificial intelligence, dysphagia, dysphagia management, videofluoroscopy, cervical auscultation, medical image analysis, decision support, deep learning
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