The Use of Artificial Intelligence (AI) in Systematic Reviews Masterclass 2024

08 Apr 2024

 

***Applications now closed***

 

Are you a nurse, allied health professional, social care professional, public health, or local government staff member eager to enhance your research skills through the integration of Artificial Intelligence (AI) in systematic reviews?

Join us for an insightful half-day masterclass on the use of AI in systematic reviews on April 24th, 2024, from 12 pm to 5 pm. This unique opportunity, presented by the ARC North Thames Academy, aims to equip participants with the skills to conduct systematic reviews using cutting-edge AI technology. It is tailored for professionals keen on deepening their understanding at the intersection of AI and systematic reviews.

 

Why Attend: 

  • Cutting-Edge Insights: Stay at the forefront of AI advancements in healthcare. 

  • Practical Applications: Learn to integrate AI seamlessly into your systematic review processes. 

  • Networking Opportunities: Connect with like-minded professionals passionate about AI in healthcare. 

 

This Masterclass will be led by Professor James Thomas. James is based at the EPPI Centre (Evidence for Policy & Practice Information Centre) and his research is centred on improving policy and decision-making through more creative use and appreciation of existing knowledge. It covers substantive disciplinary fields – such as health promotion, public health and education – and also the development of tools and methods that support this work conducted both within UCL and in the wider community. He has written extensively on research synthesis, including meta-analysis and methods for combining qualitative and quantitative research in ‘mixed method’ reviews; and also designed EPPI-Reviewer, software which manages data through all stages of a systematic review.

 

Please note that we intend to limit the cohort size to 30 places. To best support our partners in the health and social care professional communities, we will offer free places to members of any organisation partnered with NIHR ARC North Thames. The cost for members of non-partner organisations is £150 (£180 inc. VAT). 

As demand is expected to be high, we encourage you to apply as soon as possible if you would like to participate.

 

What to Expect: 

  • Engaging Content: Immerse yourself in the world of AI and systematic reviews alongside our expert trainers.
  • Interactive Workshops: Participate in hands-on sessions to acquire proficiency with cutting-edge AI tools tailored for systematic reviews.
  • Expert Insights: Learn how to effectively evaluate challenges and biases associated with the use of AI in systematic reviews.

 

Participants will receive a certificate of completion, which can be exchanged for CPD credits. Please direct any queries regarding CPD credit exchange to the relevant team within your organisation.

 

Who is the course for?

This masterclass is designed for allied health professionals, nurses, social care professionals, public health and local government staff interested in advancing their current practices through systematic review research.

Please be advised that participation in this Masterclass requires a foundational understanding of systematic reviews. This course is particularly tailored for individuals who have done at least one systematic review and are familiar with the processes and principles involved in conducting systematic reviews.

Participants must be available to attend the Masterclass in-person in Central London. We also request that you bring your own laptop to this Masterclass.

Please note that there are limited places available and applications will be shortlisted with priority given to members of ARC NT partners organisations

 

How to apply

Applications for 2024 have now closed.

 

 

Contact

If you have any questions about this course or our organisation, please email us at arc.academy@ucl.ac.uk.

We announce applications opening for all of our courses via our mailing list. If you would like to be added to our mailing list to receive these notifications or have any queries about this course, please email arc.academy@ucl.ac.uk.

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