This course focuses on the use of AI in healthcare systems, diagnostics, and medical imaging. Learners will work with biomedical data, clinical decision-support systems, and regulatory-compliant AI models for improving accuracy, efficiency, and patient outcomes.
Fundamental Topics
Covers AI fundamentals in healthcare, medical data processing, imaging, decision support, ethics, and deep learning.
Medical data types
Biomedical signals
Healthcare regulations
Intermediate Topics
Covers predictive modeling, medical imaging, NLP for clinical data, patient risk analysis, and AI-driven treatments.
ML for diagnostics
Medical image processing
Clinical data analysis
Advanced Topics
Precision medicine, AI-driven robotics, genomics and multi-omics analysis, real-time patient monitoring, clinical decision optimization, and AI-powered drug discovery.
Deep learning for radiology
AI-assisted decision support
Personalized medicine
Course Outcomes
Enable students to apply AI for medical diagnosis, imaging, predictive analysis, treatment recommendations, and healthcare optimization.