AI & Healthcare
Learn to interpret medical research, understand AI in clinical practice, and conduct original health data analysis—the critical thinking skills every future physician needs.
Future doctors don't need to code, but they do need to evaluate evidence. In this beginner-friendly program, students analyze real health data, explore how AI is already detecting disease and predicting patient outcomes, and practice drawing conclusions the way researchers do using Tableau.
Students also explore the ethical challenges facing modern medicine—health disparities, algorithmic bias, and patient privacy.
By the end, students complete an original health research project for their college application.
Program Details
Start Date
July 13, 2026
End Date
July 24, 2026
Duration
2 weeks
Program Times
2:00 - 4:00 PM PST
Program Cost
$400
Program Information
Prerequisites
- No prior programming experience required
- Comfort with basic algebra and graph interpretation
- Interest in health, biology, life sciences, and technology applications
Program Format
- WEEK 1: Think Like a Physician-Scientist: Interpret medical research • Understand AI in clinical practice • Explore health disparities • Master correlation vs. causation • Learn medical data ethics
- WEEK 2: Conduct Original Health Research: Formulate a research question • Analyze real public health data • Draw evidence-based conclusions • Present findings • Earn your certificate
Curriculum Highlights
- Interpret real health data and identify patterns—skills future doctors need using Tableau
- Build the research experience that strengthens college applications
- Understand AI's role in medicine—and the ethical challenges of bias, privacy, and health equity
- Complete an original research project and present at a final showcase
Capstone Project & Showcase
Analyze real public health data to investigate a health question you care about—the same datasets used in published studies. Capstone Deliverables:
Meet the Instructors
Priya brings over 25 years of industry experience across a wide range of technology domains, with a specialization in AI and data. She has worked extensively with large-scale datasets and complex analytical concepts, translating technical work into practical, real-world applications. With more than a decade of teaching experience, she has taught students computer science, Python, AI, and data science, supporting learners at different skill levels. Priya is passionate about working with students to build confidence, curiosity, and responsible problem-solving skills through engaging, hands-on projects.
Anjana brings a strong background in data and AI education, with experience guiding high school students through hands-on projects that connect technical skills to real community needs. She helps students frame meaningful questions, work with real-world datasets, and communicate findings with clarity and confidence. Anjana is passionate about creating an inclusive, supportive classroom where students feel empowered to learn and contribute positively.
Program Registration
Register for AI & Healthcare
Complete the form below to apply for this program.
Application received
Testimonials
"This program showed me that I don't need to be a coding expert to work with data. Using Tableau to explore real healthcare datasets was eye-opening and fun!"
— Moksha , Grade 8, 2025
"I loved learning about how AI helps doctors diagnose diseases. The capstone project on medical imaging made me realize how powerful data analysis can be."
— Ravi , Grade 9, 2025
Frequently Asked Questions
Ready to Get Started?
Join us and make an impact through technology and research. Explore this program or discover other opportunities.