
People who post on social media are more irritable; the hidden cost of AI in health care; men are 3x more likely to die from brain injuries – Morning Medical Update
Key Takeaways
- High social media use correlates with increased irritability in U.S. adults, beyond depression or anxiety factors.
- AI tools in healthcare require constant oversight to maintain accuracy, especially during unpredictable events like pandemics.
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A study published Wednesday in the
Hospitals increasingly rely on artificial intelligence (AI) to enhance patient care but maintaining these AI tools pose significant challenges. A University of Pennsylvania study revealed an AI algorithm designed to predict patient death faltered during the COVID-19 pandemic, reducing its accuracy and missing opportunities for crucial end-of-life discussions. Experts warn such tools need constant oversight to avoid failures, yet most health systems lack resources required to evaluate, monitor and sustain AI models. Although AI promises efficiency and innovation in health care, the cost of ensuring reliability and fairness raises questions about its practicality, especially as errors, data shifts and unpredictability complicate its implementation into health systems.
A new
“While anyone is at risk for getting a TBI, some groups have a higher chance than others of dying from one. We identified specific populations who are most affected. In addition to men, older adults are especially at risk, with unintentional falls being a major cause of TBI-related death. American Indian or Alaska Native people also have higher rates of these fatal injuries,” said Alexis Peterson, PhD, of the National Center for Injury Prevention and Control at the Centers for Disease Control and Prevention (CDC), and lead author of the study.
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