AI/ML Tutorial Library
- Q-Learning Module
Reinforcement learning basics, in a clinical scenario
- Retrieval-Augmented Generation (RAG)
Build a RAG system over medical literature
- Convolutional Neural Networks
Imaging-focused intro to CNNs
Community · #ai-med
AI & Data Science
The largest and most active MD+ vertical — structured tutorials, Datathon, Journal Club, and Catalyst for clinicians who want to build with AI.
Join MDplus →then look for
#ai-medAbout
The largest and most active vertical in MD+. We offer a complete learning pathway: from foundational tutorials in Python, clinical data science, and machine learning, through hands-on Google Colab modules on Q-Learning, RAG, and CNNs taught through a clinical lens. Members compete in the annual MD+ Datathon — a month-long competition now in its fourth year with ~300 participants in 2025, producing peer-reviewed research published in JMIR Medical Education. Those who want hands-on project experience and leadership can apply to Catalyst. The AI & Data Science community is where clinicians go from zero experience to building real AI projects.
Resources
Where to start.
Educational Content
Planned — content coming soon
- API Key Management & Security Best Practices
- Clinical Datasets & HIPAA Considerations
- Data De-identification & Privacy-Preserving Workflows
- Intro to Python for Healthcare Data Science
- Jupyter Notebook Fundamentals
- Basic Machine Learning Workflows
- Medical Imaging & Computer Vision
- LLMs in Healthcare
- RAG for Medical Literature & Clinical Knowledge Bases
- Clinical NLP Fundamentals
- Data Visualization for Healthcare Datasets
- Reproducible Research & Version Control (Git/GitHub)
- End-to-End Healthcare AI Project Tutorials
Programs
- Annual Datathon
Four years running; ~300 participants in 2025; published in JMIR Medical Education
- Catalyst
Hands-on AI projects, leadership, and real-world experience
- Journal Club (Archive)
Past deep-dives into AI, data science, and clinical innovation papers
Your path
From zero to building — step by step.
The AI & Data Science vertical is designed as a complete learning journey. Start anywhere, move at your own pace.
- 01
Learn
Build your foundation with structured articles, resources, and educational content.
- 02
Tutorials
Work through hands-on Colab modules on Q-Learning, RAG, CNNs, Python, clinical data science, and more.
- 03Paused
Journal Club
Past sessions are preserved in the archive — focused on AI, data science, and clinical innovation. New sessions paused for now.
- 04
Datathon
Compete in our annual month-long AI competition on real clinical datasets. Four years running, ~300 participants in 2025.
- 05
Catalyst
A structured cohort for members who want hands-on AI projects, real-world experience, and leadership opportunities.
- 06
Leadership & Research
Director roles, peer-reviewed publications, and community leadership in the largest MD+ vertical.
Other communities
Most members are in more than one.
Venture Capital
Fellowship pipelines, investor introductions, and the resources to actually break into healthtech VC.
Biotech
Drug discovery, therapeutics investing, and physician pathways into biotech.
Consulting
Mentorship and resources for clinicians building careers in consulting, life sciences, and healthcare strategy.
Health Policy
Op-ed writing groups, expert speakers, and workshops to make health policy approachable.
Medical Devices
Device development, FDA pathways, and hardware for clinical environments.
Research (MD+ Labs)
A research collaboration platform: post a project, find collaborators, ship a paper.
Design
Healthcare design thinking, user experience, and human-centered clinical innovation.