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Healthcare Artificial Intelligence Journal Club (CHME0032)

Key information

Faculty
Faculty of Population Health Sciences
Teaching department
Institute of Health Informatics
Credit value
15
Restrictions
Only open to students on the MRes Artificial Intelligence in Enabled Healthcare programme
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

You will attend a ‘journal club’ each week in term 1 and term 2. You will receive a list of papers on artificial intelligence applied to healthcare at the start of each term and, each week, you will present a paper, providing a clear summary of the findings and an appraisal of the quality of evidence and likely impact. The papers will cover innovations in methods of AI, use of data, approaches to new problems in healthcare and the ethical and societal implications. The academic chairing the session will facilitate a discussion involving the whole class.

The module aims to provide you with a detailed understanding of research in artificial intelligence applied to healthcare. You will gain an awareness of the range of methods used in the field, of the problems to which they are applied and the research approaches used to assess them. You will gain experience in reading and appraising research papers and in contributing to a constructive discussion of research ideas.

You will, over the course of 20 weeks, closely engage with the leading publications shaping the field of artificial intelligence as it is applied to healthcare. You will learn about the most successful and the most innovative approaches to implementing artificial intelligence. You will learn how these are developed, and how they are evaluated.

Module deliveries for 2024/25 academic year

Intended teaching term: Terms 1 and 2 ÌýÌýÌý Postgraduate (FHEQ Level 7)

Teaching and assessment

Mode of study
In person
Methods of assessment
100% Viva or oral presentation
Mark scheme
Numeric Marks

Other information

Number of students on module in previous year
10
Module leader
Dr Ken (kezhi) Li
Who to contact for more information
aihealthcdt@ucl.ac.uk

Last updated

This module description was last updated on 8th April 2024.

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