AI Detects Hypertension Through Voice Recordings: Klick Labs’ Breakthrough Study
AI Identifies Hypertension Through Audio Recordings
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Researchers have used artificial intelligence (AI) to identify signs of hypertension in audio recordings. They shared their findings in IEEE Access.
The group used a proprietary mobile app developed by Klick Labs, a division of Canada-based Klick Health. Nearly 250 patients recorded their voices into the app up to six times per day for two weeks. The machine learning-powered app evaluated voices for hundreds of biomarkers, including many undetectable by the human ear.
The app aimed to identify patients with a systolic blood pressure (SBP) of ≥ 135 mmHg or a diastolic blood pressure (DBP) of ≥ 85 mmHg. It showed 84% accuracy for women and 77% for men. For a threshold of SBP ≥ 140 mmHg or DBP ≥ 90 mmHg, the AI was 63% accurate for women but more accurate for men at 86%.
“By leveraging various classifiers and establishing gender-based predictive models, we discovered a more accessible way to detect hypertension,” said principal investigator Yan Fossat, senior vice president of Klick Labs. “Hypertension can lead to complications, from heart attacks and kidney problems to dementia.”
Other research at Klick Labs focuses on how AI models may identify signs of type 2 diabetes. The latest results from that project were published in Mayo Clinic Proceedings: Digital Health in October 2023.
“Our ongoing research increasingly demonstrates the significant promise of vocal biomarkers in detecting hypertension, diabetes, and other health conditions,” said co-author Jaycee Kaufman, a research assistant with Klick Labs.
Klick Health funded the analysis in full. Click here to read the full study.
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