The ‘Artificial Intelligence in Medicine: Creators Course’ Diploma is perfect for those who don’t just want to stop at the theory. In this course you will learn the key facts surrounding AI in Medicine as well as gain the practical knowledge to create your very own AIs to be used in the modern day.
Course Modules (1 – 4)
Module 1: Terminology
There are many complex terms used when dealing with Artificial Intelligence and you will find a basic working vocabulary a valuable tool. This module aims to be a jumping off point, providing both a reference for later use, as well as preparation for more complex future modules.
Module 2: Ethics and AI
Medicine is a field that is already fraught with ethical issues and so throwing AI into the mix can only make things more complicated. Given that human beings often struggle to agree on what is morally right and wrong (e.g. euthanasia, abortion, treatment against will, etc…) how do we assign ethics and morality to an autonomous medical AI? In this module you will look into the implications of creating, using, and managing an ethical medical AI in the real world.
Module 3: The History of AI
It can sometimes seem that modern day AI popped up overnight, going from a notion in science fiction to something found in most homes and hospitals, seemingly instantaneously. In that instance it can be hard to know what might happen next. Thankfully, this module will walk you through just how we reached this present stage of AI, focusing on the scientific, medical and philosophical advances that underlie our modern-day AIs. With this knowledge you can gain insights into how and where AI may evolve next.
Module 4: AI in Medicine
Medicine is focused on prevention and cure of illness and disease. The function of AI is to provide a significant enhancement to this, reducing the time frame and cost while, simultaneously, increasing efficiency. Here you will see just how much scope there is for AI in medicine. Case studies will show exactly where AI has been applied in a wide range of medical fields and the results of these applications. With this knowledge you will then be able to go on to identify opportunities for further uses of AI in medicine.
