Recent advances in AI have the potential to transform both clinical medicine and public health. However, their effective use requires healthcare professionals and stakeholders to understand the key principles of machine learning, computer vision, and large language models underlying these technologies as well as their strengths, limitations, and appropriateness for specific healthcare use cases. There is also a need to understand the current landscape of the regulatory, ethical, and challenges in implementing these technologies in the real world. This course addresses these needs by equipping students to critically appraise and conceptualise AI applications in health, fostering informed decision-making in a rapidly evolving field. The course is organised and taught by members of the AI in Global Health Research Group at the London School of Hygiene and Tropical Medicine.

Who is this course for?

The course has been designed for professionals with a health background (doctors, nurses, allied health professionals, epidemiologists, medical statisticians, or any healthcare researchers) with a strong interest in AI in healthcare. No prior knowledge of AI/ML is expected. Applicants should have a good command of English.