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
Hands-on tutorials in ML, RAG, and CNNs through a clinical lens, plus the annual Datathon.
Join MDplus →then look for
#ai-medAbout
The largest and most active vertical. We maintain an AI/ML tutorial library with end-to-end Google Colab modules taught through a clinical lens, run a recurring Journal Club on the latest data and AI papers in medicine, and host the annual MD+ Datathon: a month-long competition that has run four years and produced peer-reviewed research published in JMIR Medical Education.
Resources
Where to start.
Programs
- Annual Datathon
Four years running; ~300 participants in 2025
- Journal Club
Recurring deep-dives into AI in medicine
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 case prep for clinicians moving into management consulting.
Health Policy
Op-ed writing groups, expert speakers, and the policy segment of the MD+ Podcast.
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.