ArticleFrontiers in digital health2025
Bridging AI innovation and healthcare: scalable clinical validation methods for voice biomarkers.
Article in Frontiers in digital health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- eXCube2: Explainable Brain-Inspired Spiking Neural Network Framework for Emotion Recognition from Audio, Visual and Multimodal Audio-Visual Data.Biomimetics (Basel, Switzerland) · 2026Article
- The gut-brain axis in Alzheimer's and Parkinson's diseases: a comparative perspective.Frontiers in microbiomes · 2026Review
- A mechanistically informed framework of hierarchical temporal speech organization for objective differential assessment of motor speech disorders in neurodegenerative diseases.Frontiers in neuroscience · 2026Article
- An interpretable, clinically grounded framework for digital speech biomarker development in neurodegenerative diseases.Frontiers in digital health · 2026Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The integration of artificial intelligence (AI) in voice biomarker analysis presents a transformative opportunity for objective and non-invasive diagnostics in healthcare. However, clinical adoption remains limited due to challenges such as data scarcity, model generalizability, and regulatory hurdles. This perspective article explores effective and scalable methods for clinical validation of voice biomarkers, emphasizing the importance of proprietary technology, high-quality, diverse datasets, strong clinical partnerships, and regulatory compliance. We propose a multifaceted approach leveraging proprietary AI technology (Musicology AI) to enhance voice analysis, large-scale data collection initiatives to improve model robustness, and medical device certification to ensure clinical applicability. Addressing technical, ethical, and regulatory challenges is crucial for establishing trust in AI-driven diagnostics. By combining technological innovation with rigorous clinical validation, this work aims to bridge the gap between research and real-world implementation, paving the way for AI-powered voice biomarkers to become a reliable tool in digital healthcare.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.