SSIE 549XIntro to AI in Medicine

Catalog

This course comprehensively introduces the principles and applications of Artificial Intelligence (AI) in the medical domain. It is designed for engineering students and focuses on integrating AI methods with clinical data to solve complex medical problems. The course will cover fundamental AI, particularly in machine learning and deep learning techniques, data processing methodologies, and practical applications in medical imaging, patient data analysis, and personalized treatment planning. Through theoretical learning and practical exercises, students will gain the skills to critically assess the benefits and limitations of AI technologies in healthcare settings. The course emphasizes hands-on experience with medical datasets, ethical considerations, and the future of AI in clinical practice. Students will learn to develop and evaluate AI models using tools such as Python and TensorFlow, focusing on applications such as disease diagnosis, prognosis prediction, and clinical decision support systems. By the end of this course, students will be equipped to understand and contribute to the rapidly evolving field of AI in medicine and explore its potential to transform healthcare. Prerequisites: Graduate Standing. 3 credits.