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
Featured Resources
Handpicked essentials for getting started
My AI Toolkit: What I Actually Use Every Day
Ramez 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 PickFirst-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.
10 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.
6 resourcesResearch AI
How to use LLMs to accelerate every phase of your research -- from discovering papers to writing manuscripts and analyzing data.
9 resourcesRecently Added
The latest additions to the library
AI for Patient Education: How I Actually Use It in Clinic
Using LLMs and image generation to create intuitive patient education materials in real time.
AI-Enhanced Patient Education Slide Deck
A real example of using AI image generation and LLMs to build intuitive patient education materials for new consults.
AI/LLMs for Cancer Biology Researchers
A practical lecture on how cancer biology researchers can leverage AI and large language models in their work.
About BeamPath
BeamPath is a public notebook maintained by Ramez Kouzy, a radiation oncologist at MD Anderson Cancer Center. It started as a personal collection of bookmarks and notes while learning AI -- and grew into something worth sharing.
This is not a comprehensive database. It is one clinician-researcher's curated perspective on what is worth your time, with honest annotations about what works and what does not.
Every resource here has been read, watched, or used firsthand.
- The BeamPath Team
Stay in the Loop
Bi-weekly insights on AI in medicine. Practical updates for busy clinicians -- no spam, no hype.
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