University of Glasgow
Generative AI for Healthcare Students and Professionals

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University of Glasgow

Generative AI for Healthcare Students and Professionals

Ourania Varsou
Hamish Runciman
Lauren Duguid

Instructors: Ourania Varsou

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

13 hours to complete
3 weeks at 4 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

13 hours to complete
3 weeks at 4 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Explore real world clinical case studies of AI.

    Discuss responsible and ethical use of generative AI in healthcare.

Details to know

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Recently updated!

September 2024

Assessments

6 assignments

Taught in English

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There are 3 modules in this course

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.

What's included

2 videos8 readings2 assignments1 discussion prompt

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.

What's included

10 videos10 readings2 assignments1 discussion prompt

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.

What's included

3 videos8 readings2 assignments4 discussion prompts

Instructors

Ourania Varsou
University of Glasgow
1 Course501 learners

Offered by

Recommended if you're interested in Health Informatics

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