Background Artificial intelligence ECG (AI-ECG) models can predict cardiovascular outcomes, but their clinical adoption is limited by restricted access to training data and uncertain generalisability.
Kennesaw State University student Josiah Ware is helping turn CT scans into digital models of the human heart, research that could one day help doctors detect problems faster and personalize treatment ...
Epigenetic aging clocks use DNA methylation patterns to measure biological age and predict health risks across human tissues.
Researchers from UCL (University College London) and the ESRF (The European Synchrotron) have produced the first ...
A new study uses a dual-model AI algorithm to decode EEG data and objectively classify pain intensity via F7/F8 delta waves.
The team built a DenseNet – a densely connected convolutional neural network – that learns hierarchical features directly ...
Mental and neurological disorders, including Alzheimer’s disease, Parkinson’s disease, depression, and schizophrenia, represent a growing global health ...
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Cardiac amyloidosis diagnosis gets a more extensive AI model
Clinical, lab parameters coupled with echo data in AI-ECM ...
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