Health Innovation Role of Artificial Intelligence

Unlock the power of Artificial Intelligence (AI) and Machine Learning (ML) to transform healthcare delivery, teaching, and research. This course has been specifically designed for healthcare professionals, educators and students who wish to delve into this technology and gain a competitive edge in this rapidly evolving healthcare landscape.

This course will provide you with hands-on experience in designing Machine Learning models using healthcare data. You will learn how AI and ML are reshaping diagnostics, clinical workflows, patient outcomes and academic research. By the end of the course, learners will complete a capstone project that walks through every stage of AI development—from problem identification to workflow integration—preparing them to build and apply AI solutions in real-world healthcare settings.

Whether you're aiming to enhance your clinical practice, support academic innovation, or upskill your team for the future of digital health, this course equips you with the knowledge and frameworks to responsibly and effectively integrate AI into healthcare environments.

Learning Objectives

• Understand and explain the fundamentals of AI and Machine Learning within the context of healthcare data.

• Determine how best to integrate and use AI based tools in clinical practice, teaching, and research.

• Gain practical skills in using AI based tools and techniques for health-related data analysis as well as run basic Machine Learning models on real-world healthcare data

• Identify ethical and security issues concerning use of health-related data by AI tools and come up with potential solutions to address them