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About the project

A clinician-built companion for emergency medicine.

ED AI Tutor supports clinicians, trainees, and educators with real-world scenarios, clinical reasoning tools, and evidence-based resources. Built by a practising ED clinician, aligned with Australian, New Zealand, and UK emergency medicine guidelines.

Our mission

Better clinical thinking. Safer patient care.

ED AI Tutor aims to support clinicians, trainees, and educators by providing real-world emergency department scenarios, structured clinical reasoning tools, and evidence-based resources to enhance everyday emergency medicine practice and learning.

The platform's behaviour rules and clinical reasoning framework are carefully designed, tested, and refined by real emergency physicians. It is engineered to think in alignment with Australian, New Zealand, and UK emergency guidelines while integrating trusted FOAM resources and accredited medical education sites.

What it does

Real-world clinical reasoning.

At its core, ED AI Tutor supports structured clinical reasoning. Each case begins with internal logic, then expands outward — cross-referencing global, evidence-based emergency medicine resources.

Every response is designed to mirror how an experienced ED clinician thinks: ABCDE first, red flags surfaced, differentials weighed, investigations justified, management staged, disposition considered, and safety-netting attached. Clear explanations, guideline-based references, and source citations on demand.

What's inside the beta

Five modes, one launch.

  • Clinical mode — structured, guideline-aligned case reasoning
  • Teaching mode — step-by-step explanations for learning and revision
  • Fellowship exam practice — interactive ACEM-style questions with model answers, viva, and OSCE scenarios
  • Clinical tools — practical decision-support utilities for the ED, including calculators, toxidromes, fracture management, and ventilation support
  • EM Clinical Pathways — evidence-based structured pathways built from accredited emergency medicine guidelines
Research & evidence

An EBM research assistant.

The EBM research assistant enables deeper academic and clinical inquiry — analysing research questions, exploring current literature, supporting evidence-based appraisal, and guiding clinicians through critical thinking in research.

Designed for trainees preparing fellowship research dissertations, clinicians appraising studies at journal club, and educators building evidence-based teaching content.

How to access

Two ways in.

  • ED AI Tutor beta platform — the full, evolving system at app.edaitutor.org
  • ED AI Tutor GPT (ChatGPT) — a lite entry-point for quick access, still actively supported

Users on free ChatGPT plans may experience some limitations. A fully open, unrestricted version is in active development.

What's coming next

Active development.

  • Advanced ECG interpretation tool — a high-accuracy reader with waveform analysis and clinical reasoning, currently under active development to ensure clinical reliability
  • Expanded exam question banks — ACEM Primary, Fellowship, and OSCE scenarios
  • Enhanced clinical engines — deeper guideline integration, more decision-support tools
  • AI-driven diagnostic support — image upload, pattern recognition, source-cited reasoning
Our vision

Augment — never replace.

ED AI Tutor is designed to augment clinical thinking, not replace it. It combines real clinician logic, global evidence, and advanced AI to support better decision-making, stronger learning, and safer patient care.

In real patient management, clinician judgement comes first. AI is the supportive tool — never the replacement.

Clinician judgement first
Created by

Dr Nish Paramsothy.

Emergency medicine clinician working across regional and rural emergency departments in Victoria, Australia. ED AI Tutor began as a personal tool for clinical reasoning practice and has grown into an open ecosystem used by clinicians, trainees, and educators internationally.

The platform continues to evolve as a clinician-led project — blending emergency medicine expertise, evidence-based practice, and applied artificial intelligence.

Medical disclaimer

ED AI Tutor is an educational emergency medicine platform only. It does not provide medical advice, diagnosis, or treatment for real patients.

All content produced by the platform may be generalised, incomplete, inaccurate, or outdated. However, the platform's clinical reasoning and exam content are informed by reputable sources — including Australian, New Zealand, and UK emergency medicine guidelines, ACEM-aligned textbooks, and accredited emergency medicine education sites — and these resources are continually reviewed and updated.

For real clinical decisions, always follow your local hospital guidelines, standard emergency medicine resources, senior clinician advice, and your own professional judgement. ED AI Tutor and its creator assume no liability for any actions taken based on the information from this site or any AI-generated outputs.