Breakthrough AI foundation model called BrainIAC is able to predict brain age, dementia, time-to-stroke, and brain cancer ...
Opioid overdoses continue to take a devastating toll across the United States. According to the U.S. Centers for Disease Control and Prevention (CDC ...
A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
Clinical and health care resource use burden were greater among patients with diagnosed hypereosinophilic syndrome or predicted hypereosinophilic syndrome via machine learning vs. those without the ...
Opioid overdoses continue to take a devastating toll across the United States. According to the U.S. Centers for Disease ...
Researchers report redo heart surgery in adults with congenital heart disease remains high-risk, highlighting the need for a ...
Opinion
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AI’s errors may be impossible to eliminate – what that means for its use in health care
Explore the implications of AI errors in health care and the necessity for human oversight in drug prescribing.
Heart specialists at Mayo Clinic today presented new research at the 2026 Society of Thoracic Surgeons Annual Meeting that redo surgery for adults with congenital heart disease (CHD) remains high-risk ...
Heart specialists at Mayo Clinic today presented new research at the 2026 Society of Thoracic Surgeons Annual Meeting that ...
Can deep learning catch chronic illness before symptoms show? This article explores how time-aware neural networks are reshaping early detection and care planning for conditions like diabetes and COPD ...
Twenty-five years of research into complex systems shows why artificial intelligence will always produce errors in healthcare ...
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