Welcome to AI for Endocrinologists

Managing long-term conditions means a lot of writing. A lot of explaining. A lot of repeating yourself — to patients, to families, to colleagues in primary care. You do this every day, for conditions that don't go away, with patients who need to truly understand what is happening inside their own bodies.

That is exactly where AI tools can help.

AI writing assistants — the kind behind tools like ChatGPT and Claude — are not clinical decision-support systems. They do not diagnose or prescribe. But they are surprisingly good at the work that surrounds clinical care: drafting letters, explaining concepts in plain language, summarising long case notes, preparing patient education materials, and structuring referrals.

Here are three ways endocrinologists are already using them:

Explaining feedback loops. The hypothalamic-pituitary-thyroid axis is hard to explain in a ten-minute consultation. AI can help you draft a plain-English explanation you can hand to a newly diagnosed patient with Hashimoto's — one you have reviewed and approved, in your voice.

Drafting diabetes education. Writing structured education for a newly diagnosed type 2 diabetes patient takes time. AI can produce a first draft covering diet, monitoring, and medication principles that you then edit and personalise.

Follow-up letters. After a complex PCOS or adrenal review, the follow-up letter can take twenty minutes. Giving AI a structured summary of what you covered and asking it to draft the letter is a common time-saver.

You do not need any technical background to use these tools. If you can type a question, you can use AI.

Where to start: Head to the first beginner lesson, Drafting a Patient Education Letter with AI, to see exactly how this works in practice.

Remember: AI is a helpful assistant, not a clinician. You make the call.