Artificial Intelligence

A short guide for medical professionals in the era of artificial intelligence

5 out of 5 (2 ratings)


Resource details

Provider's catalogue badge

Learning outcomes

By the end of this guide you will be able to :-

  • Define what AI is and the levels of A.I.
  • Describe how A.I. works?
  • Give Real-life examples for the subtypes of machine learning
  • Describ the difference between Machine learning vs traditional statistical models
  • Describe the duifference between Machine vs deep learning
  • Describe how to evaluate news and studies about A.I.?
  • Give examples for how healthcare could benefit from A.I.
  • Describe how can an A.I.-based medical technology become part of an everyday practice?
  • Describe what are the major challenges ahead?
  • Understand the future role of A.I. in medicine and healthcare
Contributed by: Artificial Intelligence
Authored by: NPJ Digital Medicine
Licence: © All rights reserved More information on licences
First contributed: 11 June 2024
Audience access level: Full user

Ratings

2 ratings

5 out of 5
5 star
100%
4 star
0%
3 star
0%
2 star
0%
1 star
0%
Report an issue with this resource

You may report a resource, for example, if there is an issue with copyright infringement, breach of personal data, factual inaccuracies, typing errors or safety concerns. The type of issue will determine whether the resource is immediately removed from the platform or if the contributor is asked to make amendments. You can report a resource from the resource information page or by contacting the Learning Hub support team.

You can contact the Learning Hub support team by completing the support form or if you have a general enquiry you can email enquiries@learninghub.nhs.uk.