Ai and healthcare
Learning goals:
By the end of this lesson, students will be able to:
– Understand the applications of artificial intelligence in healthcare.
– Recognize the benefits and challenges of using AI in healthcare.
– Discuss the ethical considerations associated with AI in healthcare.
Resources: https://www.weforum.org/agenda/2023/06/emerging-tech-like-ai-are-poised-to-make-healthcare-more-accurate-accessible-and-sustainable/
Learning activities:
Activity 1: AI in Healthcare Applications:
Video Clips and Examples:
Show video clips or images of AI applications in healthcare, such as AI-powered diagnostics, telemedicine, and predictive analytics.
Highlight how AI is used to improve patient care and streamline healthcare processes.
Group Discussion:
After each example, facilitate a group discussion with the following questions:
How does AI enhance healthcare in these examples?
What are the potential benefits for patients and healthcare providers?
Are there any challenges or concerns associated with AI in healthcare?
Activity 2: Case Study – Diagnostics:
Case Study Presentation:
Present a case study on AI-driven diagnostic tools that can detect diseases like cancer or COVID-19.
Discuss the accuracy and speed of these tools compared to traditional methods.
Group Analysis:
Divide students into small groups and ask them to analyze the strengths and weaknesses of AI-based diagnostics.
Encourage discussion about the potential impact on healthcare accessibility and affordability.
Activity 3: Ethical Considerations :
Ethical Scenarios:
Present students with ethical scenarios related to AI in healthcare, such as data privacy, algorithm bias, or the use of AI in end-of-life decisions.
Ask students to discuss the ethical dilemmas and possible solutions in pairs or small groups.
Class Discussion:
Lead a class discussion on the ethical considerations of AI in healthcare, drawing on the scenarios presented.
Encourage students to share their perspectives on the balance between innovation and ethical responsibility.