Stanford’s AI spots hidden disease warnings that show up while you sleep
The model trained on 585,000 hours of sleep recordings and outperformed current tools in tests for sleep apnea and disease risk.
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9 Articles
A recent American study has shown that an analysis of the electrical activity of the heart during sleep using artificial intelligence techniques can help predict the risk of heart disease.
The Independent
The Independent (US)The simple sleep test that can predict heart disease risk years in advance
Test can predict heart disease by assessing just one night of sleep
HEART ACTION during sleep could reveal the risk of cardiovascular disease up to ten years in advance.
Stanford’s AI spots hidden disease warnings that show up while you sleep
Stanford researchers have developed an AI that can predict future disease risk using data from just one night of sleep. The system analyzes detailed physiological signals, looking for hidden patterns across the brain, heart, and breathing. It successfully forecast risks for conditions like cancer, dementia, and heart disease. The results suggest sleep contains early health warnings doctors have largely overlooked.
Scientists have shown in a new study that a test performed during sleep can help predict the risk of heart disease years in advance. Polysomnography is a standard test performed during sleep to diagnose conditions such as insomnia and obstructive sleep apnea. Read more This section contains reference points related to the topic. (Related Nodes field) Although ECG recordings are taken during these tests, they are usually not analyzed in depth. In…
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