Amazing stuff!
"Voice recordings examined by artificial intelligence (AI) could reveal conditions such as diabetes, heart disease and Alzheimer’s. Neurologists and other specialists can often diagnose people by listening to how their illness affects their voices, but AI systems could detect more subtle changes and even reveal new mechanisms through which diseases change vocal features. The measure isn’t perfect, not least because people’s voices fluctuate from day to day, and there is a lack of long-term data. But AI-guided vocal analysis might one day allow physicians to monitor their patients remotely and get early warnings of a range of conditions. Because voice is “so non-intrusive and you could do it at home, it’s going to be, I think, very useful” ..."
"... Scientists are looking for voice biomarkers for a variety of health conditions, including diabetes and coronary artery disease, as well as menopause. The voice, they think, carries signatures of health and illness, and with the help of now-ubiquitous recording technology and ever-improving AI models, they’re trying to tease out those signatures for screening, earlier diagnosis and remote monitoring of health.
Voice biomarkers could improve telemedicine by providing an easy, non-invasive way to check for various conditions. Individuals could record a snippet of speech on their phones and send it to their physicians for evaluation. Those running clinical trials could increase monitoring of participants without making them travel to a hospital. Physicians might get early warnings of a range of conditions, from Alzheimer’s disease to COVID-19, and request follow-up tests that could lead to swift treatments. ...
Even conditions that might seem unrelated to speech can show up in the voice. Researchers ... used AI to analyse recordings of around 600 individuals, and discovered that the algorithms could detect type 2 diabetes. In a study published in December 2024, AI correctly identified 71% of diabetes cases in men and 66% in women purely by analysing snippets of their recorded speech. ...
Speech is already used, without the assistance of AI, to diagnose mental-health conditions, from depression to Alzheimer’s disease. Physicians ask people to remember and repeat a series of words to test for memory problems. Individuals with depression tend to speak more softly and slowly, and to speak in more negative and absolute terms, than do people without depression. ..."
AI listens for health conditions (open access) "Voice recordings, examined by artificial intelligence, might provide new biomarkers for conditions such as heart disease and Alzheimer’s"
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