Applied AI for Healthcare
Teacher
Prof. Dr. Nadeem AhmadLast Update
06-December-2025
- Discription
Course Overview
A specialized course focusing on the application of AI in the healthcare domain, covering topics like medical image analysis, diagnostics, and predictive analytics. Case studies and real-world datasets will be used extensively.
Requirements
Before enrolling, ensure you meet the basic prerequisites. These may include foundational knowledge, necessary tools, or specific skills required to fully benefit from the course. Check the list of requirements to make sure you're prepared for a smooth learning experience!
- Machine learning knowledge
- Python
- interest in healthcare
Description
This course offers insights into how AI is transforming healthcare, from early diagnosis to personalized treatment. Students will work with datasets like chest X-rays and electronic health records to build and evaluate predictive models. It will cover tools such as CNNs for image classification and decision trees for patient outcome prediction. Ethical considerations and data privacy in medical AI will also be discussed. A final project involving a healthcare-related problem will be required for course completion.
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