Handbook

The course will start by explaining the fundamental concepts of AI systems and what they can and cannot do. This will be followed by an examination of the idiosyncrasies of AI for healthcare practice covering electronic medical records data (including images, clinical notes, pathology and patient reported outcomes), clinical settings and workflows, as well as the ethical, social, and legal issues posed by the use of AI technologies in clinical practice. Students will generate and discuss a survey of major AI solutions in healthcare practice. The course will then provide students with best-practice guidance, methods and tools on when to use AI to improve patient care, how to deploy an AI project pipeline, how to critically assess the performance and impact of the proposed AI solution and what pitfalls to avoid.