معرفی
James Coyle is a Professor at the University of Pittsburgh, specializing in dysphagia (swallowing disorders) research. His work integrates biomedical signal processing, machine learning, and clinical applications to improve diagnostic and therapeutic approaches for swallowing dysfunction. Key focuses include high-resolution cervical auscultation (HRCA), deep learning for swallowing analysis, and addressing disparities in speech-language pathology utilization.
Research Interests:
- Development of non-invasive swallowing assessment tools
- AI-driven analysis of cervical auscultation signals
- Kinematic and temporal analysis of swallow events
- Racial/ethnic disparities in dysphagia care
- Neurological disorders affecting swallowing (e.g., ALS, stroke)
Recent articles highlight advancements in automated swallow detection, predictive models for aspiration risk, and cross-disciplinary approaches to bedside screening. His work emphasizes translating computational methods into clinical practice to enhance patient outcomes.
Grants & Collaborations: Active collaborations with institutions like IEEE, Elsevier, and Springer Nature. Research funded by NIH grants and industry partnerships in medical technology.
Labs/Teams: Leads the Computational Deglutition Lab at University of Pittsburgh, focusing on signal/image processing for swallowing disorders.
