AI Curbside: The Practical Guide for Busy Clinicians - Tapa blanda

Sinopsis

The practical AI guide clinicians have been waiting for.

Artificial intelligence is already changing how medicine is practiced—and many clinicians don't feel ready. AI Curbside fixes that in an afternoon.

Written by a triple board-certified pediatric hematologist/oncologist and clinical informatician who works at the intersection of patient care, clinical research, and AI every day, AI Curbside is an honest, approachable, and practical walkthrough of AI written for physicians. No hype about AI replacing doctors, and no computer-science prerequisites required. Just what AI can do now, where it falls short, and how to use it wisely—starting today.

Inside, you'll learn to:

• Build a clear mental model of how large language models work under the hood—decode the jargon of tokens, embeddings, context windows, hallucinations, and retrieval-augmented generation (RAG).
• Write better prompts using the same communication skills you already know and use.
• Compare and test-drive ChatGPT, Claude, Gemini, and other models—learn what each does well, where each falls short, and how to pick the right tool for the task at hand.
• Apply AI to practical, everyday workflows: documentation, email, meeting summaries, research synthesis, grant writing, and patient care.
• Protect patient privacy and sensitive business data.
• Spot where AI excels and where it falls short.
• Implement AI safely across your organization.

AI Curbside is written for the clinician who wants to be informed, not overwhelmed. Designed to be read in an afternoon, you'll finish ready to start using AI immediately. It's relevant for attending physicians in any specialty, medical students, residents, fellows, and healthcare leadership.

About the author

Kirk D. Wyatt, MD, MAS is a triple board-certified pediatric hematologist/oncologist and clinical informatician. His research spans EHR data processing, data commons development, and AI application in pediatric oncology. AI Curbside distills years of work at the intersection of medicine and technology into the practical guide he wished existed when he first started using AI.

If you're a physician, medical student, or healthcare leader looking for a clear, clinician-written guide to AI in medicine, start here.

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