Artificial Intelligence in Speech-Language Pathology and Dysphagia: A Review From Latin American Perspective and Pilot Test of LLMs for Rehabilitation Planning
These videos have been matched automatically. Contact us if they are not relevant.
These videos have been matched automatically. Contact us if they are not relevant.
View abstract on PubMed
Summary
This summary is machine-generated.Artificial Intelligence (AI) enhances speech-language pathology and dysphagia care with advanced diagnostic and rehabilitation tools. Challenges in Latin America include infrastructure and data limitations, requiring culturally adapted AI solutions.
Area Of Science
- Speech-language pathology
- Dysphagia management
- Artificial Intelligence applications
Background
- AI is revolutionizing speech-language pathology (SLP) and dysphagia management.
- Applications span assessment, diagnosis, and rehabilitation, with a focus on the period 2014-2024.
- Implementation challenges in Latin America are a key consideration.
Purpose Of The Study
- To review AI applications in SLP and dysphagia management.
- To analyze AI technologies like deep learning, machine learning, and NLP.
- To identify implementation barriers, especially in Latin America, and propose solutions.
Main Methods
- Narrative review of AI applications in SLP and dysphagia from 2014-2024.
- Analysis of AI technologies (deep learning, ML, NLP) for voice and swallowing disorders.
- Evaluation of AI in diagnostic tools, rehabilitation technologies, and telehealth.
Main Results
- AI demonstrates high accuracy in detecting voice disorders and analyzing swallowing function.
- Key applications include sensitive diagnostic tools, personalized rehabilitation technologies, and accessible telehealth platforms.
- Significant barriers in Latin America include limited infrastructure, linguistic adaptation needs, and scarce regional datasets.
Conclusions
- AI offers promising advancements in SLP and dysphagia care, particularly in diagnosis.
- Widespread implementation requires culturally and linguistically adapted AI, regional collaboration, and ethical regulatory frameworks.
- AI should complement, not replace, clinical expertise in speech-language pathology and dysphagia management.
These videos have been matched automatically. Contact us if they are not relevant.
These videos have been matched automatically. Contact us if they are not relevant.