ChatGPT for doctors: practical uses that don’t compromise safety
Can doctors use ChatGPT? This practical guide outlines the 3 "safe zones" for using AI in clinical practice—from drafting admin to simplifying jargon—and the critical "red zones" t...
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insights on clinical AI, guideline access, and the future of medicine
Making a Decision?
See objective, head-to-head comparisons of iatroX against other clinical tools.
The future of the GP consultation: from answers to orchestration
The future of the GP consultation isn't about smarter chatbots; it's about orchestration. This article explores the shift from "answers" to "agentic AI" that can coordinate tasks a...
The GP’s “AI at work” rulebook: what’s safe, what’s reckless, and what’s simply unprofessional
Can doctors use ChatGPT at work? This guide translates GMC guidance into a practical "Three-Zone Model" for UK clinicians. Learn what is safe (Green), what requires caution (Amber)...
The irony of automation: how AI will return humanity to medicine
Is your consultation defined by "screen-time medicine"? This article explores the irony of automation: how AI tools like iatroX can reverse the trend of EHR burnout and return clin...
Revision burnout is real: how “external cortex” tools help you study less but retain more (using cognitive offloading)
Revision burnout is real. This article explains how to use "cognitive offloading" and a tiered knowledge strategy to study less but retain more. Learn how to distinguish between Ti...
Solving Bloom’s 2 Sigma Problem: how AI finally democratises the “personal tutor” for medical learning
Benjamin Bloom famously proved that 1:1 tutoring outperforms classroom teaching by two standard deviations. The problem was always scale—until now. This article explores how AI is ...
From “human-in-the-loop” to “human-at-the-helm”: how to prevent automation bias and preserve clinical agency in the AI era
"Human-in-the-loop" isn't enough to ensure safety in clinical AI. This article explores the risks of automation bias, drawing powerful lessons from aviation accidents like Asiana 2...
The death of the PDF: why “living guidelines” and dynamic retrieval are the future of clinical practice
The "17-year gap" between evidence and practice is fueled by static PDFs and "document graveyards." This article explores why the future of NHS clinical knowledge lies in "Living G...
If AI makes a mistake, am I liable? A UK clinician’s guide to “human-in-the-loop” safety
If AI makes a mistake, are you liable? In the UK, the answer is yes—professional responsibility remains with the clinician. This guide explores how to use AI without becoming a "li...
The broke doctor’s guide: 5 free AI tools that replace expensive subscriptions
Stop paying for expensive medical subscriptions. This guide for students and FY1s reveals the 5 best free AI tools of 2025. Discover how OpenEvidence replaces UpToDate, how Heidi H...
ChatGPT vs. iatroX vs. OpenEvidence: which free AI is actually safe for clinical decisions?
Not all AI is safe for the ward. This "Safety Showdown" compares the three main options for UK clinicians: the generalist ChatGPT, the academic OpenEvidence, and the clinical co-pi...
Revision for the dopamine-deprived: how to hack your exams with adaptive AI
Struggling to focus on revision? For the dopamine-deprived brain, traditional Q-banks and textbooks are a recipe for boredom. This article explores how to "hack" your exams using a...