The American Heart Association and Laerdal Medical further commitment to provide equitable, increased access to high-quality ...

Using routine clinical data, the model gauges liver cancer risk better than existing tools, offering a potential way to identify high-risk patients missed by current screening criteria.

Researchers have used artificial intelligence to predict dozens of previously unknown carbon crystal structures, including at ...

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...

A peer-reviewed article in Neurobiology of Learning and Memory is challenging a foundational assumption about how animals and ...

Machine learning model predicts poor pain-related quality of life after endometriosis surgery to assist clinicians with preoperative counseling.

A person with advanced heart failure can look stable at a routine clinic visit. Their vitals may not alarm anyone.

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...

The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after trauma and it remains difficult to predict whether someone might worsen, ...

A new artificial intelligence tool could aid in limiting or even prevent pandemics by identifying animal species that may harbor and spread viruses capable of infecting humans. The machine learning ...

Andragogy promises autonomy and respect, but who decides when learners deserve it, and what counts as learning in the first ...