Bridging AI innovation and healthcare: scalable clinical validation methods for voice biomarkers.

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,