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In terms of diagnostic accuracy, ChatGPT's performance was evaluated based on its ability to correctly identify whether a ...
For security, AI can assist with surveillance, threat detection, and misinformation tracking. Generative AI is rapidly ...
Chronic kidney disease (CKD) constitutes a major global health challenge, affecting millions and often remaining undiagnosed until advanced stages. Recent advances in machine learning have ...
Cardiovascular disease is the leading cause of death not only in the United States but globally, per the World Health ...
“Using AI for tasks like CAC detection can help shift medicine from a reactive approach to the proactive prevention of disease,” said Dr. Hagopian. He pointed to the potential for fewer heart attacks, ...
A recent study published in npj Materials Degradation introduces a two-stage machine learning (ML) framework that predicts the degradation of protective coatings under various environmental conditions ...
The study excluded patients with a previous psychiatric diagnosis to determine if the model could predict depression in patients who — at face value − are considered low-risk.
An advanced Johns Hopkins AI model called MAARS combs through underused heart MRI scans and complete medical records to spot hidden scar patterns that signal sudden cardiac death, dramatically ...
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Heart disease markers may predict future cancer risk - MSNCancer and heart disease, two leading causes of death worldwide, may be more connected than we previously thought, according to a new UCLA Health study revealing that certain cardiac blood markers ...
Microsoft researchers believe they have found a way to use machine learning to push those limits for small molecules (arXiv 2025, DOI: 10.48550/arXiv.2506.14665).
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ZME Science on MSNYour Brain Could Reveal a Deadly Heart Risk. AI Is Learning to Read the SignsBy studying brain scans this AI model was able to differentiate between types of strokes with high accuracy.
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