Unlocking the Future of Swallowing Diagnostics: How Artificial Intelligence is Changing the Landscape for Speech Pathology
Other
Paper/Presentation Title | Unlocking the Future of Swallowing Diagnostics: How Artificial Intelligence is Changing the Landscape for Speech Pathology |
---|---|
Presentation Type | Other |
Authors | Girardi, A., Cardell, E. and Bird, S. |
Web Address (URL) of Conference Proceedings | https://nahc.com.au/ |
Conference/Event | 16th National Allied Health Conference |
Event Details | 16th National Allied Health Conference Delivery In person Event Date 11 to end of 14 Aug 2025 Event Location Adelaide Event Venue Adelaide Convention Centre Event Web Address (URL) |
Abstract | Artificial Intelligence (AI) is emerging as a transformative force in healthcare, with the potential to significantly empower clinicians and improve patient outcomes. In speech pathology, AI can revolutionise the interpretation of videofluoroscopic swallow studies (VFSS), an important diagnostic imaging tool in swallowing assessments. This narrative review resulted in the identification of eleven key studies that explore how AI, particularly deep learning (DL) models, can enhance the efficiency, accuracy, and accessibility of VFSS interpretation, ultimately reshaping the approach to dysphagia diagnostics and care. The included studies showcase how AI models are being applied to improve the precision of swallowing assessments, providing insights into how these technologies can be integrated into clinical practice to support speech pathologists in making more informed and timely decisions. AI-driven approaches to VFSS interpretation have demonstrated significant benefits, including improved diagnostic accuracy, faster processing, and the ability to detect subtle swallowing impairments that may otherwise be missed. These innovations empower speech pathologists by providing enhanced diagnostic tools, particularly in underserved areas where access to specialised expertise may be limited. The result is more individualised, efficient, and timely interventions, which improve the quality of care and patient outcomes. Integrating AI into VFSS interpretation can empower speech pathologists, and other health professionals, to provide more precise, evidence-based care, ultimately improving patient outcomes. However, challenges such as data requirements, system transparency, and biases must be addressed. Collaboration and further validation are key to realising AI’s full potential in reshaping swallowing diagnostics and advancing healthcare. |
ANZSRC Field of Research 2020 | 460299. Artificial intelligence not elsewhere classified |
420110. Speech pathology |
https://research.usq.edu.au/item/zz134/unlocking-the-future-of-swallowing-diagnostics-how-artificial-intelligence-is-changing-the-landscape-for-speech-pathology
2
total views0
total downloads2
views this month0
downloads this month