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Development of a YOLOv7-Based Web AI System for Automated VFSS Swallowing Disorder Diagnosis
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- 발행기관
- 국제인공지능학회(구 한국인터넷방송통신학회) 바로가기
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- 간행물
- The International Journal of Advanced Smart Convergence 바로가기
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- 통권
- Volume 14 Number 3 (2025.09)바로가기
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- 페이지
- pp.352-359
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- 저자
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- 언어
- 영어(ENG)
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- URL
- https://www.earticle.net/Article/A474342
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
원문정보
초록
- 영어
- The Videofluoroscopic Swallowing Study (VFSS) is widely recognized as the gold standard for diagnosing dysphagia, as it provides dynamic X-ray imaging of bolus transit from the oral cavity to the esophagus. However, manually interpreting VFSS videos is time-consuming and heavily reliant on expert analysis, often leading to significant diagnostic delays. In this study, we present a web-based artificial intelligence (AI) diagnostic system capable of real-time detection of swallowing disorders. The proposed system incorporates the state-of-the-art YOLOv7 object detection model to identify key phases of swallowing—oral, pharyngeal, and esophageal—as well as pathological events such as penetration and aspiration. A total of 1,079 clinical VFSS cases were collected, annotated, and used to train the AI model. The system processes multi-frame VFSS files, detects dysphagia automatically, and delivers immediate diagnostic feedback through an interactive web interface. The developed AI model demonstrates high accuracy across all stages of swallowing and is expected to significantly reduce diagnostic turnaround times, thereby enhancing the clinical utility of VFSS in routine healthcare settings.
목차
Abstract
1. Introduction
2. Related Works
3. AI Web Service for Diagnosing Swallowing Disorders
3.1 System Architecture
3.2 AI Model for Diagnosing Swallowing Disorders
3.3 Web Application and Inference Results
4. Conclusion
Acknowledgement
References
키워드
VFSS Swallowing Disorder Penetration Aspiration Real-time AI Diagnosis저자
간행물 정보
발행기관
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- 발행기관명
- 국제인공지능학회(구 한국인터넷방송통신학회) [The International Association for Artificial Intelligence]
- 설립연도
- 2000
- 분야
- 공학>전자/정보통신공학
- 소개
- 인터넷방송, 인터넷 TV , 방송 통신 네트워크 및 관련 분야에 대한 국내는 물론 국제적인 학술, 기술의 진흥발전에 공헌하고 지식 정보화 사회에 기여하고자 한다.
간행물
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- 간행물명
- The International Journal of Advanced Smart Convergence
- 간기
- 계간
- pISSN
- 2288-2847
- eISSN
- 2288-2855
- 수록기간
- 2012~2025
- 십진분류
- KDC 326 DDC 380
이 권호 내 다른 논문 / The International Journal of Advanced Smart Convergence Volume 14 Number 3
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