Built for Clinicians · Backed by Evidence · 2026

AI that clinicians
can actually trust

ClinAssist is an explainable AI clinical decision support system for ICUs and emergency departments. It tells you the risk score — and exactly why. Every feature, every weighting, visible in real time. No black boxes. Ever.

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3–5min
Triage window we're built for
>80%
AUC in validated triage models
55%
Non-English speakers in SW Sydney EDs
$3.6B
Global clinical AI market by 2028
Medical team reviewing data
Clinical Decision Support
Hospital technology
ICU & Emergency Care
Data analytics
AI-Powered Analytics
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Everything you need to know

Doctor reviewing

️ The Problem

Powerful ML models exist — but clinicians won't use what they can't interrogate. We're solving the last-mile trust gap in clinical AI.

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Medical data

How It Works

From EHR ingestion to SHAP, LIME, and attention visualisation — a fully transparent, multimodal clinical decision pipeline.

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Research data

Evidence Base

Grounded in MIMIC-IV, PhysioNet, and peer-reviewed XAI literature. Designed for TGA alignment and Australian Privacy Act compliance.

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Hospital corridor

Vision & Roadmap

Meet the founder and follow the build plan — from open-source prototype to clinical pilot and beyond.

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Why It Matters

55% of patients in SW Sydney EDs speak English as a second language.

Clinical AI that explains itself in clear, structured reasoning reduces misdiagnosis risk — and builds trust across diverse patient populations and care settings.

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Hospital care
For Investors & Partners

A $3.6B market with a trust problem — and we're solving it

Clinical AI adoption remains critically low not because the models fail — but because clinicians won't act on outputs they can't interrogate. ClinAssist is building the explainability layer the industry is missing.

Market

Large & Growing Market

The global clinical decision support market is projected to reach $3.6B by 2028, with AI-powered tools driving the fastest growth segment across ICU and ED settings.

Evidence

Evidence-Grounded Approach

Built on MIMIC-IV (300,000+ ICU admissions), peer-reviewed XAI methodology, and designed for TGA regulatory alignment from day one — not retrofitted later.

Deployment

Clear Path to Deployment

Prototype → clinical validation study → open-source release → hospital pilot. A defined, milestone-driven roadmap with measurable outcomes at each stage.

Talk to the Founder → View Evidence Base