Exploring Acoustic Biomarkers and AI in Healthcare

This chapter discusses a four-year project on acoustic biomarkers, focusing on training models, extracting biomarkers, and potential applications in early diagnosis and disease tracking. It delves into privacy risks of voice data in AI development, HIPAA law regulations, voice prints as identifiers, and the challenges of balancing anonymization with data integrity. The conversation also explores AI's role in supporting healthcare, using acoustic biomarkers for diagnosis, and integrating technology like voice analysis for detecting signs of depression and enhancing employee well-being.