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MEIN40410

Academic Year 2025/2026

Intro to AI in Healthcare (MEIN40410)

Subject:
Medical Informatics
College:
Health & Agricultural Sciences
School:
Medicine
Level:
4 (Masters)
Credits:
5
Module Coordinator:
Assoc Professor Patrick Felle
Trimester:
Spring
Mode of Delivery:
Blended
Internship Module:
No
How will I be graded?
Letter grades

Curricular information is subject to change.

In this module students will be introduced to the technologies involved in artificial intelligence in medicine, and the related technological, ethical and legal issues associated.

About this Module

Learning Outcomes:

At the end of this modules students will have learned the basic concepts of artificial intelligence in medicine.
-understand principles of conventional AI and Neural Networks
-Large Language Models
-Generative AI
-use of AI in clinical care
-technological and practical issues
-ethical issues

Indicative Module Content:

History of development of AI in Medicine.
Technologies in use
Selection of applications
Legal and ethical issues

Student Effort Hours:
Student Effort Type Hours
Specified Learning Activities

62
Lectures

5
Small Group

5
Tutorial

3
Seminar (or Webinar)

5
Online Learning

20
Total

100

Approaches to Teaching and Learning:
Students will learn through a mixture of lectures, seminars and peer to peer learning

Requirements, Exclusions and Recommendations
Learning Requirements:

MEIN40050 - Medical Records is a prerequisite


Module Requisites and Incompatibles
Not applicable to this module.
 

Assessment Strategy
Description Timing Component Scale Must Pass Component % of Final Grade In Module Component Repeat Offered
Exam (Open Book): Open book essay exam Week 14 Graded Yes
100
 Yes

Carry forward of passed components
No
 

Resit In Terminal Exam
Autumn Yes - 2 Hour
Please see Student Jargon Buster for more information about remediation types and timing. 

Feedback Strategy/Strategies

• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment

How will my Feedback be Delivered?

Group and individual feedback

Name Role
Professor Peter Doran Tutor
Miss Denise Gosling Tutor
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