The Opioid Risk Tool for Opioid Use Disorder may help identify patients with chronic noncancer pain at increased risk for OUD ...

Breakthrough AI foundation model called BrainIAC is able to predict brain age, dementia, time-to-stroke, and brain cancer ...

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 ...

Opioid overdoses continue to take a devastating toll across the United States. According to the U.S. Centers for Disease Control and Prevention (CDC), in 2023, the nation recorded roughly 105,000 drug ...

When infectious diseases surge, response often comes down to timing: whether communities can position the right people and supplies before case counts spike. A new tool developed by UC San Diego with ...

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 ...

Opioid overdoses continue to take a devastating toll across the United States. According to the U.S. Centers for Disease Control and Prevention (CDC ...

The question is simply unavoidable: Will we ensure our AI models continue to learn from the world, or will we let them learn from their own reflection?

An AI-powered model developed at University of Michigan can read a brain MRI and diagnose a person in seconds, a study suggests. It detected neurological conditions with up to 97.5% accuracy and ...

The field of infectious disease epidemiology is continually challenged by the emergence and re-emergence of pathogens, which can have profound societal, ...