ARTIFICIAL INTELLIGENCE FOR HEALTHCARE PROFESSIONALS
Dr. Tedros Adhanom Ghebreyesus, Director General of the World Health Organisation, stated that Artificial Intelligence (AI) has the potential to greatly enhance global health. As AI is likely to impact every aspect of our lives in the years to come, healthcare is one area that will be significantly affected.
This presents a significant challenge for those working in the healthcare sector, as they need to understand the changes that are taking place and how to adapt and respond to them. The Artificial Intelligence for healthcare professionals online medical course has been designed to address this challenge. It provides health and social care workers with a deeper understanding of the significance of AI, the changes it is driving.
The course helps learners understand the key characteristics of AI, including its ability to:
- and learn.
It also explores the relationship between AI and other digital technologies such as Big Data Analytics and the Internet of Things. Additionally, the course provides numerous examples of the use of AI in healthcare such as:
- Analysis of medical images
- Determination of personalised treatment plans
- Use of chatbots to interact with patients
- Use of robots to provide company and care to the elderly and less-able.
This online course covers the following topics:
- Introduction to Artificial Intelligence in Healthcare
- Overview of AI
- Moores Law
- Digital Technologies in healthcare Handbook
- AI in Healthcare – Areas of Concern
- Glossary of AI
- Video: Professor Alan Brown, Professor at Exeter University in the UK and Fellow of the Alan Turing Institute explains what AI is and why there is so much interest in it.
- Video: Senior NHS Cardiology Consultant Dr. Emmanuel Ako explains how and why AI can be applied in a Healthcare Setting, giving practical examples of its application.
- Assessment and Certification
- You would appreciate the range of challenges and issues arising from the wider adoption of Artificial Intelligence in health and social care, including the risk of errors, the lack of transparency, the potential biases in the data which the AI tools rely upon, and issues around the willingness of healthcare professionals to trust AI when it differs from their own assessments.
For institutional purchase or bulk licences of our online medical courses, please contact us