Addressing patients' health-related social needs such as housing instability, food insecurity, transportation barriers and ...
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Machine learning approach enhances emotion detection accuracyFacial emotion recognition could have broad applications across health care, education, marketing, transportation, and ...
Despite increasing awareness, identifying and mitigating the effects of ACEs remains a significant challenge, particularly ...
Addressing patients’ health-related social needs such as housing instability, food insecurity, transportation barriers and financial strain is important to improving health outcomes yet can be ...
Funded by a one-year, $500,000 grant from the National Institutes of Health (NIH)’s AIM AHEAD program, the researchers are ...
Funded by a one-year, $500,000 grant from the National Institutes of Health (NIH)’s AIM AHEAD program, the researchers are ...
The FDA’s framework for AI regulation, while robust for premarket evaluation, would benefit from more specific mechanisms for continuous monitoring of AI performance in diverse real-world settings.
It's no secret that there is a mental health crisis in the United States. As of 2021, 8.3% adults had major depressive ...
The oncology field is experiencing a profound shift due to the rapid integration of artificial intelligence (AI) and machine ...
After combing through 4,000 existing medications, an artificial intelligence tool helped uncover one that saved the life of a ...
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