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Health researchers in South Dakota are leveraging artificial intelligence (AI) to tackle significant health issues, including cancer, Alzheimer's, and diabetes. The National Institutes of Health (NIH) emphasizes the need for extensive data to train AI models effectively while ensuring patient privacy. Recent funding initiatives aim to connect researchers with necessary data, particularly from underserved populations.
The NIH has invested nearly $1 billion in AI medical research since 2019, with notable projects like those led by University of South Dakota's Bill Harris and South Dakota State University's Semhar Michael. These projects focus on predicting Alzheimer's risk and addressing health disparities in kidney disease, respectively. The ongoing dialogue among lawmakers and health officials stresses the importance of ethical data use and the potential of AI to revolutionize healthcare.
• NIH invests nearly $1 billion in AI medical research since 2019.
• AI models aim to predict Alzheimer's disease risk earlier.
AI is being utilized in healthcare to analyze data and improve disease prediction and diagnosis.
Machine learning is crucial for developing predictive models in medical research.
Ensuring data privacy is essential in AI research to maintain patient trust and comply with regulations.
OmegaQuant is involved in developing AI models to assess health data for earlier Alzheimer's predictions.
Sanford Health partners with academic institutions to address health disparities using AI.
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