Vocal Markers Move Toward Clinical Use

Readers of this publication probably have heard of the impressive advances in analyzing voice patterns for disease. These automated models can monitor so many people efficiently that they have potential applications in public health as well as diagnosis and treatment. A simple app on a cell phone can detect unusual patterns in speech that suggest when a person is depressed or anxious, is losing cognitive function, or has pulmonary disease. But there are several reasons that “prediagnostic” data from popular devices can’t be trusted: lack of regulation, user error, lack of information about the device’s operation, etc. Nobody is relying on vocal markers for diagnosis yet, according to David Liu, CEO of Sonde Health. But the analyses are useful input to doctors’ diagnoses. I talked to Liu recently about what Sonde Health is doing in India and other parts of the world with vocal markers. India’s second-greatest health problem India surpasses the world in cases of chronic obstructive pulmonary disease (COPD). It is the second biggest cause of death in India, according to Liu. Sonde Health is trying to improve the tracking of COPD (along with other illnesses that can be detected through voice analysis) through a partnership with Koye, a pharma company in India. Koye in turn is promoting a Sonde app to clinicians. The models used by the Sonde app to detect disease are based on data collected over several years in clinical settings, where each vo...
Source: EMR and HIPAA - Category: Information Technology Authors: Tags: AI/Machine Learning Clinical Health IT Company Healthcare IT Telemedicine and Remote Monitoring behavioral health COPD David Liu GN Group India Health Koye mental health Public Health Qualcomm Sonde Vocal markers Voice Diag Source Type: blogs