AI101
A practical guide for clinicians and medical learners getting started with AI. Work through the topics at your own pace—build the skills to evaluate, supervise, and thoughtfully integrate AI into your practice.
We start not with theory, but with practice. Get hands-on with AI tools that can immediately improve how you consume medical literature.
Start HereA practical on-ramp using NotebookLM—learn to transform dense PDFs and hour-long lectures into digestible formats you can use today.
Foundations
Build core mental models for understanding AI systems: what they're made of, how they succeed and fail, and why bias is structural rather than accidental.
How LLMs Think Like Clinicians
Both are probabilistic pattern-completion systems. Understanding the parallels helps you reason better and use AI tools effectively.
Updated Apr 2026PHI, HIPAA, and AI
Why AI creates genuinely new privacy challenges—direct PHI, indirect re-identification, and shadow AI that bypasses every safeguard.
Updated Jun 2026The Art of the Ask
Prompting LLMs effectively—how to communicate with AI tools to get outputs that actually help your clinical work.
Updated Apr 2026The Big Three
ChatGPT, Claude, and Gemini—your practical guide to today's leading foundation models and how to choose between them.
Updated Jun 2026Bias, Ethics, and the Training Data Problem
AI doesn't introduce bias—it inherits, encodes, and scales the biases already embedded in our data. Understanding why is essential.
Updated May 2026AI 101 for Medical Learners
A practical guide for students and trainees—how to use AI tools effectively while building (not bypassing) clinical reasoning.
Updated Jun 2026Using AI
Practical guides for integrating AI tools into your clinical workflow and everyday life.
Clinical Decision Support Tools
From UpToDate to OpenEvidence: how to access, evaluate, and integrate AI-powered clinical decision support into your workflow.
Updated Jun 2026Ambient AI Tools
Scribes in day-to-day practice: how they work, where they fail, and how to use them without compromising patient care.
Updated Jun 2026AI-Powered Search
Answer engines, deep research, and knowing when to just Google it—navigating the new landscape of finding information.
Updated Jun 2026AI Image and Video Creation
From patient education to practice marketing—visual AI tools that work, how to use them effectively, and their limitations.
Updated Apr 2026Everyday Ways to Use AI
AI beyond medicine—contracts, spreadsheets, marketing, research, and building custom tools that work exactly the way you want.
Updated May 2026When Patients Bring AI to the Exam Room
Understanding, partnering with, and guiding patient use of AI health tools—turning a clinical challenge into an opportunity.
Updated Jun 2026What's Next
You've built a foundation. Now go deeper—find your path, build with AI, understand the plumbing, and learn what can go wrong.
So...What Next?
You've built a foundation. Now find your path, keep learning, and start building things that matter—updated through the July 2026 model wave (Claude Opus 5, GPT-5.6, Gemini 3.6 Flash) and the agentic-coding shift (Cursor $2B ARR, Codex Mobile).
Updated Jul 2026Vibe Coding
Building software without writing code: what it is, how to get started, and where it works brilliantly vs. fails spectacularly. Now with the Claude Code Pro saga, OpenAI Codex Mobile preview, and the May 2026 three-tool convergence.
Updated Jun 2026How AI Talks to Your Tools
APIs, MCP, and the plumbing that lets AI do more than chat—explained through the language of consults and referrals.
New Mar 2026OpenClaw & Hermes
The two AI agent frameworks that defined 2026—OpenClaw’s viral rise and Hermes’s persistent memory—and why autonomous agents put your API keys, credentials, and patient data at risk.
Updated Jun 2026 New30 Days to Claude Code
A gentle, daily on-ramp for the Claude-Code-curious—30 small steps from "what even is the terminal?" to building real things with an AI coding agent. No CS degree required.
New May 2026 New14 Days to GitHub
The sequel to 30 Days to Claude Code—14 small steps from “my work lives in a folder” to a backed-up repository you can branch, review, merge, and recover. Git is your memory; GitHub is your meeting place.
New Jul 2026Resources
Additional resources exploring broader considerations in clinical AI.
AI News
AI is fast moving—here are some of the latest updates and developments worth knowing about.
Updated Jun 2026AI's Environmental Footprint
Understanding the energy costs of AI systems and what healthcare organizations should consider when deploying these technologies.
Updated May 2026Running AI Models on Your Own Computer
Technical guidance for running medical AI models locally—for privacy, offline access, and understanding how these systems work.
Updated Jun 2026AI Glossary
The acronyms you'll actually encounter—from foundational concepts to specialized terms, in plain language.
Updated Jun 2026How to Use This Guide
Work through the topics at your own pace. The sequence is designed to build on itself—foundations first, then practical applications—but feel free to jump to topics most relevant to your practice.
Who This Guide Is For
- Clinicians in practice who want to get started with AI tools
- Medical students, residents, and APP students building foundational AI literacy
- Healthcare professionals who want to evaluate AI systems with appropriate skepticism
- Anyone who needs to explain AI to patients, colleagues, or administrators
No Credit, No CME
This is a free educational resource. There are no certificates, CME credits, or formal assessments. The goal is practical knowledge you can apply—not credentials.