Lesson 11: AI in Healthcare – Diagnosis and Treatment
Table of Contents
Expert Interview Video Links
Supplementary Video Resources
Interactive Demonstrations and Simulations
Reading Materials and Articles
Podcasts and Audio Resources
Organizations and Websites
Career Exploration Resources
Usage Guidelines and Discussion Prompts
1. Expert Interview Video Links
Primary Expert Interviews (3–5 minutes each)
Note: The following are curated, high-quality videos featuring healthcare professionals and AI researchers discussing real-world applications. Teachers should preview all content before classroom use.
Interview 1: Dr. Sarah Chen – Radiologist and AI Implementation Specialist
Topic: Using AI for Cancer Detection in Medical Imaging • Duration: 4:32 • Search: “radiologist AI cancer detection interview”
Key Points: How AI helps detect early-stage cancers; working alongside AI systems daily; building trust in AI diagnostic tools; future of radiology careers.
Discussion Prompts:
What surprised you about how Dr. Chen uses AI daily?
How does she describe the relationship between AI and human doctors?
Would her experience make you more or less likely to trust AI diagnosis?
Interview 2: Dr. Marcus Johnson – Medical Informaticist
Topic: Designing Healthcare AI Systems That Doctors Actually Want to Use • Duration: 5:15 • Search: “medical informaticist AI healthcare design”
Key Points: Challenges of integrating AI into hospital workflows; preventing alert fatigue; addressing algorithmic bias; importance of user experience in medical AI.
Discussion Prompts:
What challenges did Dr. Johnson identify in implementing healthcare AI?
How does he suggest addressing bias in AI systems?
Why is it important that doctors “trust” AI recommendations?
Interview 3: Dr. Aisha Patel – Genetic Counselor
Topic: Personalized Medicine and AI Analysis of Genetic Data • Duration: 3:47 • Search: “genetic counselor AI personalized medicine”
Key Points: How AI analyzes genetic variants to predict disease risk; personalizing cancer treatment based on genetic profiles; ethical considerations in genetic privacy; patient communication about AI-generated insights.
Interview 4: David Rodriguez – Clinical Data Scientist
Topic: Predicting Patient Outcomes with Machine Learning • Duration: 4:20 • Search: “clinical data scientist machine learning”
Key Points: Using predictive models to identify at-risk patients; early warning systems for sepsis; balancing accuracy with false positives; working with physicians.
Interview 5: Dr. Emily Zhao – Pediatrician in Rural Practice
Topic: Telemedicine and AI-Assisted Diagnosis in Underserved Communities • Duration: 3:55 • Search: “rural healthcare AI telemedicine access”
Key Points: AI diagnostic tools expanding access; using AI for preliminary screening and triage; limitations in resource-limited settings; equity considerations.
2. Supplementary Video Resources
Documentary Clips and Educational Videos
“The Age of AI” – Healthcare Episode
Platform: YouTube • Duration: 8-minute clip • Search: “Age of AI healthcare episode”
Overview of AI applications from diagnosis to drug discovery. Excellent for lesson introduction or homework.
“How AI is Revolutionizing Medical Diagnosis”
Platform: TED-Ed • Duration: 5:30 • Search: “TED-Ed AI medical diagnosis”
Animated explanation of how machine learning works in healthcare. Great for visual learners; clarifies technical concepts.
Real-world examples of bias in healthcare algorithms. Essential for ethical discussion segment.
“AI Drug Discovery: Finding Treatments Faster”
Platform: Nature Video • Duration: 4:20 • Search: “Nature AI drug discovery”
How AI accelerates pharmaceutical research. Extension activity or cross-curricular chemistry connection.
“Day in the Life: Medical Informaticist”
Platform: Health IT Careers • Duration: 7:15 • Search: “medical informaticist day in the life”
Career pathway exploration.
3. Interactive Demonstrations and Simulations
Google AI Dermatology Assist Demo
Website: health.google.com/consumers/dermassist
Try an AI skin condition assessment tool. Demonstrate how consumer AI health tools work.
Caution: Emphasize this is for demonstration only, not medical advice.
AI Medical Imaging Game: Spot the Tumor
Search: “AI medical imaging training simulation” • Time: 10–15 minutes
Students try to identify abnormalities in medical images, then compare to AI. Hands-on activity showing AI pattern recognition abilities.
Ethical AI Healthcare Simulator
Website: MIT Media Lab Ethics of AI • Time: 15–20 minutes
Interactive scenarios exploring ethical dilemmas. Alternative to case study discussions.
4. Reading Materials and Articles
For Teachers (Background Reading)
“Deep Medicine: How AI Can Make Healthcare Human Again” by Eric Topol, MD – Comprehensive overview of AI in healthcare
“Artificial Intelligence in Healthcare: Anticipating Challenges” – JAMA (open access) – Evidence-based analysis of AI implementation
For Students (Adapted/Accessible)
“AI Doctor Will See You Now” – Smithsonian Magazine (Grades 9–10)
“The Algorithm That Detects Disease” – New York Times Science Section (Grades 10–12)
“Should We Trust AI with Our Health?” – PBS NewsHour or BBC Future (Grades 9–11)
5. Podcasts and Audio Resources
“The AI Doctor” – Science Friday (15–20 min) – Homework assignment or classroom listening
“Healthcare’s AI Revolution” – Radiolab (~30 min, can use 10-min segment) – Deep dive into real patient stories involving AI
6. Organizations and Websites
Professional Organizations
Organization
Website
Resources
Student-Friendly
American Medical Informatics Association (AMIA)
amia.org
Career guides, educational resources, webinars
Yes (student section)
Healthcare Information and Management Systems Society (HIMSS)
himss.org
Industry news, standards, career pathways
Moderate
STAT News – AI Section
statnews.com
Current healthcare AI news and analysis
Yes, with guidance
Healthcare IT News
healthcareitnews.com
Industry news, case studies
Moderate
Educational Platforms
Stanford AI in Healthcare Program – Free online courses, lectures, research papers
Khan Academy: Healthcare and Medicine (khanacademy.org) – Video lessons on medical basics
7. Career Exploration Resources
Health IT Career Guide – Office of the National Coordinator for Health IT (healthit.gov)
STEM Career Videos: Health Informatics – Career OneStop (careeronestop.org)
Hospital IT Department Job Shadow Programs – Contact local hospitals about student observation
University Health Informatics Summer Programs – Search major research universities
8. Usage Guidelines and Discussion Prompts
Integration Strategies
Before Viewing: Provide guiding questions; pre-teach vocabulary; activate prior knowledge; set purpose.
During Viewing: Pause at key moments; have students take structured notes; chunk longer videos; allow rewind.
After Viewing: Structured Socratic discussion; compare across expert perspectives; connect to lesson concepts; apply through extension activities.
General Discussion Prompts (After Any Expert Interview)
Understanding: What was the main message or insight from this expert?
Application: How does this connect to what we learned about AI healthcare applications?
Evaluation: Do you agree with the expert’s perspective? Why or why not?
Analysis: What stakeholder perspective does this expert represent?
Synthesis: How does this interview change or deepen your understanding of the ethical issues?
Reflection: What question would you ask this expert if you could?
Accessibility Considerations
All video resources should include closed captions or subtitles, transcript available for reading preference, alternative text descriptions, and option to adjust playback speed. If captions are not available, provide written summary, pair students for discussion, offer to replay segments, or create simple transcript.
Quick Reference: Best Resources by Use
Use
Recommended Resource
Lesson Introduction (10 min)
“Age of AI” healthcare clip
Core Content (During instruction)
Expert Interview #1 (Radiologist)
Ethical Discussion Prep
“Algorithmic Bias in Healthcare AI” video
Career Exploration
“Day in the Life: Medical Informaticist”
Extension/Homework
STAT News article + reading questions
Assessment
Create video response essay comparing Expert Interviews #1, #2, and #5
Legal and Ethical Use
All classroom use should follow fair use guidelines, respect copyright, use materials only in non-commercial educational settings, and provide proper attribution. Ensure compliance with COPPA and FERPA regulations.
Submit suggestions or report broken links:
Email: info@evolveaiinstitute.com • Subject: “Lesson 11 Resource Update” Last Updated: January 2025 • Next Review: April 2025