Recent developments in Artificial Intelligence (AI) have the capacity to significantly reshape clinical practice and public health. To apply these technologies effectively, healthcare professionals and other stakeholders must understand the fundamental concepts behind machine learning, computer vision, and large language models, along with their capabilities, constraints, and suitability for particular healthcare applications.

This online course introduces the key concepts and applications of AI in health, while exploring the ethical, regulatory and implementation challenges involved in using AI technologies in real-world settings. Participants will develop the knowledge and skills to critically appraise AI-related health research and conceptualise responsible 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 and Healthcare Research Group at the London School of Hygiene & Tropical Medicine.

Who is this course for?

The course has been designed for professionals with a health, clinical, research or public health background who want to understand how artificial intelligence and machine learning are being used in healthcare.

It is suitable for:

• doctors, nurses and allied health professionals
• epidemiologists and public health professionals
• medical statisticians and data-focused health researchers
• healthcare researchers and policy professionals
• professionals interested in AI applications in clinical medicine, public health or global health

No prior knowledge of artificial intelligence or machine learning is required. Applicants should have a good command of English.