Your Starting Point for AI in Medicine
Learn with us. Practical guides, curated tools, and a guided path for physicians and scientists ready to start using AI.
90+ resources / 10-step guided path / 5 curated collections
My AI Toolkit: What I Actually Use Every Day
Ramez's PickThe AI tools I actually use as a physician and researcher, organized by task. Updated monthly.
What Actually IS AI? A No-Jargon Guide for Clinicians
Plain-language explainer of AI, ML, LLMs, and generative AI. No code, no math -- just the concepts you need.
How We Use NotebookLM: A Radiation Oncologist's Workflow
Ramez's PickDemoFirst-person account of using NotebookLM for disease-site knowledge management, grounded Q&A, and AI-powered podcasts.
Explore by Collection
Five curated libraries covering the full spectrum, from first concepts to advanced research tools
Foundations
A curated path for physicians and scientists who want to understand and start using AI tools. No coding required -- just curiosity.
11 resourcesClinical AI
From documentation to patient education to decision support -- learn how AI tools can help in day-to-day clinical workflows while maintaining safety, ethics, and compliance.
15 resourcesResearch AI
How to use LLMs to accelerate every phase of your research -- from discovering papers to writing manuscripts and analyzing data.
16 resourcesRecently Added
The latest additions to the library
Physicians as Context Engineers in the Era of Generative AI
Why the physician's central task is shifting from end-user to context designer -- choosing what data, tasks, tools, and values shape how AI operates in clinical care.
GPT-5 Runs an Autonomous Lab: AI + Robotics in Protein Synthesis
An LLM-driven autonomous lab -- GPT-5 paired with Ginkgo Bioworks' robotic cloud lab -- designs experiments, executes them, and iterates. 40% cost reduction in cell-free protein synthesis, no human in the loop.
What Is PHI? A Practical Guide for Clinicians Using AI
Understand what counts as Protected Health Information before using any AI tool with patient data.
Stay in the Loop
Bi-weekly insights on AI in medicine. Practical updates for busy clinicians -- no spam, no hype.
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