Applied AI for Health Sciences

3 credits · Undergraduate

Foundations of artificial intelligence and its applications in health care; medical imaging, diagnostics, personalized medicine, and clinical data. Introduction to Python for data analysis and machine learning. Hands-on modeling using regression, KNN, decision trees, random forests, SVMs, and clustering. Emphasis on ethics, interpretation, evaluation, and real-world health datasets. Serves as repeat credit for MHS 3890-05 offered spring 2026 and MHS 3890-02 offered fall 2025. [3]