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The AI medical mind is here. Every doctor and medical student is now facing the same question: use it or avoid it? The smart answer isn't either/or—it's how. Most clinicians either dismiss LLMs as unreliable or use them recklessly. Both are dangerous. This video gives you a practical, ethical framework to integrate AI into your clinical reasoning and study workflow without compromising patient safety or your professional judgment. In this video: Why you should treat AI like as a simple tool How to use LLMs for literature synthesis without falling for mistakes Building differential diagnosis simulators to sharpen your reasoning The exact prompts I use to generate study aids in seconds No‑code tool building: create working clinical calculators by describing them in plain English Where AI fails—and why you are still irreplaceable Resources & Tools: General LLMs Claude.ai – best for long context, building artifacts, clinical tool prototyping ChatGPT – broad utility, code interpreter, browsing plug‑ins Academic Search (evidence‑grounded) Consensus.app – searches peer‑reviewed literature, shows consensus Elicit.org – extracts data from papers, automates systematic review grunt work Scite.ai – shows whether a paper has been supported or contradicted by subsequent publications No‑Code Tool Building Replit.com – paste AI‑generated code, run instantly, share a link Claude Artifacts – build and test interactive tools directly in chat Prompt Libraries (medical) AIMLmed.com – curated medical AI prompts Medprompt.ai – templates for clinical reasoning, education, documentation Guidelines & Safety UpToDate / DynaMed – mandatory verification layer WHO Ethics & Governance of AI for Health – 2023 guidance Your institution’s AI policy – always check local rules Disclaimer: This content is for educational purposes only. No clinical decision should be made solely based on AI output. Always verify against current primary sources and exercise your own judgment.