This course aims to provide healthcare students and professionals with a solid foundation of how generative AI is used in their sector adopting a balanced discourse of information. This will be achieved by using case studies that will analyse the current landscape of AI in different fields such as Higher Education, NHS, Public Health and Clinical Research. These case studies will be complemented by bioethics, confidentiality and humanistic perspectives of this technology. For a comprehensive, but yet concise, overview of the topic learners will also delve into the historical perspectives of AI. The course will conclude with final reflective thoughts on what the future might hold for healthcare in terms of utilising responsibly generative AI.
As this is an introductory course on generative AI for healthcare, it will be targeted to students and qualified professionals who would like to learn more about this emerging technology in an easy-to-follow approach through the use of interactive case studies that will have real-world applications.
This week, we'll introduce the course, explore generative AI’s historical and emerging role in healthcare, and delve into AI and VR applications in medical imaging. We'll also discuss professional integrity, focusing on human oversight, and the impact of AI in academic and professional environments.
AI to maximise VR medical imaging: current technologies and a case of application•32 minutes
Professional integrity as a framework for encouraging responsible use of generative AI •49 minutes
8 readings•Total 93 minutes
Intended learning outcomes•5 minutes
Disclaimer•3 minutes
MOOC instructors and content contributors •5 minutes
Podcast - course introduction•5 minutes
The teaching and scholarship podcast - episode 59•60 minutes
Intended learning outcomes•5 minutes
Intended learning outcomes•5 minutes
Recommended optional reading•5 minutes
2 assignments•Total 60 minutes
Week 1 MCQs •30 minutes
Week 1 ungraded quiz•30 minutes
1 discussion prompt•Total 10 minutes
Supporting open discussions on genAI in higher education•10 minutes
Week 2 - Clinical Applications
Module 2•5 hours to complete
Module details
This week, we'll explore prompt engineering in AI for coding applications and develop an AI-generated application. We'll delve into generative AI's role in dental smile analysis, covering techniques like data augmentation and CNNs. We'll also learn about a multi-channel prediction model for pressure injuries in hospitalised patients. Lastly, we'll examine the ethical and humanistic aspects of AI in surgical training.
Dental aesthetics: challenges and objectives•4 minutes
Overview of proactive healthcare•2 minutes
Internet of mirrors for healthcare•11 minutes
Data curation using generative AI•3 minutes
Data processing for dental smile analysis•3 minutes
Gummy and normal smile classification•2 minutes
CNN for gummy and normal smile classification•14 minutes
Mirro user interface (UI) - demo•4 minutes
Conclusions•1 minute
10 readings•Total 177 minutes
Intended learning outcomes•5 minutes
Prompt engineering in AI: a bespoke database application in python•35 minutes
Intended learning outcomes•5 minutes
Recommended optional reading•5 minutes
Intended learning outcomes•5 minutes
A fused multi-channel prediction model of pressure injury•35 minutes
Optional activity•25 minutes
Intended learning outcomes•5 minutes
Podcast - humanistic perspective of generative AI in surgery •47 minutes
Recommended optional reading•10 minutes
2 assignments•Total 60 minutes
Week 2 MCQs•30 minutes
Week 2 ungraded MCQs•30 minutes
1 discussion prompt•Total 10 minutes
Reflective task and action plans•10 minutes
Week 3 - National Health Service Applications
Module 3•5 hours to complete
Module details
This week, we’ll explore AI’s role in supporting COPD care pathways, considering both design and patient perspectives. We’ll delve into AI’s application in Scotland’s health and social care system, focusing on discrete event simulation and Bayesian methods. We’ll also learn about AI’s use in radiology for screening and diagnosis. Lastly, we’ll examine responsible AI use in research, emphasising accountability, authenticity, curiosity, and legacy, with a focus on ethical reflections and broader social implications.
The University of Glasgow has been changing the world since 1451. It is a world top 100 university (THE, QS) with one of the largest research bases in the UK.
We are a member of the prestigious Russell Group of leading UK Universities with annual research income of more than £179m.
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Right now our dedicated community of staff, students and alumni is working to address the challenges of Covid-19 and understand how we can make life safer for everyone.
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Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.