Clinical Application of Machine Learning in Biomedical Engineering for the Early Detection of Neurological Disorders.
review · Level V
Where this comes from
- Record sourced from PubMed, PMID 40773081.
- Also identified by DOI 10.1007/s10439-025-03820-0.
- No licence information is recorded for this record.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
Machine learning is increasingly recognized as a transformative tool in the diagnosis and prognosis of neurodevelopmental, neurodegenerative, and learning disorders. Through the analysis of complex patterns in speech and language, these models may offer important insights that can support and enhance clinical decision-making. This paper explores the potential of machine learning to detect a range of disorders and discusses its key advantages, limitations, and clinical integration.
Medical subject headings
- Biomedical Engineering
- Machine Learning
- Nervous System Diseases