Artificial intelligence-enabled detection and assessment of Parkinson’s disease using nocturnal breathing signals pd-detection-ai-sleep Yang, Y., Yuan, Y., Zhang, G. et al. Artificial intelligence-enabled detection and assessment of Parkinson’s disease using nocturnal breathing signals. Nat Med 28, 2207–2215 (2022). https://doi.org/10.1038/s41591-022-01932-x
One of the complexities of PD is the lack of imaging, or lab testing available to definitively diagnose PD. A recent study involving 7,671 individuals, shows promise in using Artificial Intelligence (AI) and to diagnose PD, and track its progression and severity by monitoring nocturnal breathing patterns. The breathing signals can be collected through a breathing belt that can be work on a person’s chest or abdomen, or alternatively the signals can be observed without the belt using radio signals. The study shows the feasibility of a non-invasive, at home assessment of PD using AI. CLICK TO READ THE FULL PAPER
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