University at Buffalo 3 credits Biomedical Engineering
This course introduces established artificial intelligence methods applied to biomedical engineering. Students use existing AI tools and libraries to analyze biomedical data, train and evaluate machine learning models, and interpret model performance. Topics include Python programming, biomedical data preprocessing, neural networks, validation, ROC analysis, medical imaging, sequence models, model interpretability, multimodal AI, and physics-informed neural networks. The course emphasizes practical implementation, model limitations, reliability, patient safety, and responsible use of AI in biomedical applications. Students complete programming-based assessments and a final applied biomedical AI project. This course is dual-listed with BE 534. Requisites: Biomedical Engineering Major and EAS 230, EAS 240, EAS 999TRCP, or CSE 115.
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