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Breakthrough algorithm from MUSC reduces hospitalization for the youngest sickle cell patients
The Pediatric Emergency Medicine and Pediatric Hematology/Oncology divisions at the Medical University of South Carolina teamed up to create and test an algorithm for treating children with sickle cell disease who arrived at the ED with a fever.
The algorithm helps providers better determine which kids should be admitted and who should go home for treatment with close follow-up from the hospital.
Technology-enabled Care Resources | Care Transformation Framework: Clinical Settings:
Technological advances are applied to care delivery to improve patient care and ensure that patients receive the right care at the right time.
UC Davis Health’s AI-powered solution for type 1 diabetes management
About 2 million Americans — including over 300,000 children and adolescents — live with type 1 diabetes, or T1D.
The machines arrive in rural Washington: How AI is helping improve health equity
Three Rivers Hospital is using artificial intelligence and machine learning to help improve cancer survival outcomes in central Washington’s rural Hispanic population.
UW Medicine team’s AI-designed proteins offer new hope for snakebite treatment
At the University of Washington Medicine in Seattle, researchers are leveraging machine learning — a subset of artificial intelligence — and synthetic proteins to counteract the damaging effects of a snake bite.
Artificial Intelligence Articles
A collection of articles and toolkits from the AHA Trustee Services on artificial intelligence.
Advancing empathy in AI: Vanderbilt tackles chatbot safety for mental health
A team at Vanderbilt University Medical Center is setting out on a two-year project that aims to make AI chatbots more effective — and more empathetic — when part of behavioral health care treatment.