Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in patients with obstructive sleep apnea ...
A new study published in the Journal of Neurology1 detailed the development of 2 machine learning–based tools that were able ...
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AI is reshaping how we fight heart disease
From decoding ECGs in seconds to predicting heart disease years before symptoms, AI is revolutionizing cardiovascular care. Machine learning models are outperforming traditional risk scores, while ...
The models are designed to predict someone’s risk of diabetes or stroke. A few might already have been used on patients.
A novel study has revealed a link between extreme weather and the risk of cardiovascular disease among middle-aged and older ...
Sam Altman, OpenAI’s CEO and the public face of ChatGPT, has carved out an image for himself as one of the preeminent AI whisperers of our age, whose influence supposedly extends to the White House on ...
Whether estimating the probability that a disease is present or forecasting risk of deterioration,1 readmission,2 or death,3 most contemporary clinical artificial intelligence (AI) systems are ...
This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...
This review examines how high-throughput proteomics is expanding precision medicine by improving biomarker discovery, disease ...
At HRS 2026, Dr. Song Zuo presented evidence that AI can detect atrial fibrillation with over 90% sensitivity, ...
A model integrating deep learning with clinical and epidemiologic data may significantly improve lung cancer risk prediction based on LDCT screening.
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