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Cortex

A clinical AI product site built to make a risk-prediction model legible to the people who'd have to trust it.

Visit live site
Cortex homepage on a dark green background, with the headline 'Predict Patient Deterioration Before It's Too Late' and a glass dashboard panel showing a feature-importance chart, AI analytics insights, a risk-score gauge, and heart rate and SpO2 readings.
Client
Google Student Ambassador Program
Industry
Healthcare · Clinical AI
Project type
Product site & dashboard demo
Year
2026
Built with
ReactViteReact RouterLucideVercel

The problem

Predictive clinical software has a credibility problem before it has a marketing problem. Clinicians will not act on a risk score they cannot interrogate, so a page that leads with accuracy claims argues the wrong point. The site had to show what the model weighs and how a prediction turns into a next step.

The approach

The interface leads and the copy follows. A dashboard preview sits beside the headline showing feature importance, a live risk score, and suggested next steps, so the explainability argument is visible before it is stated. The page is then structured as an argument — the failure of reactive care first, the product second.

The solution

A dark clinical interface in deep green, anchored by an interactive dashboard preview. Below it, a four-part framing of the problem, a four-step onboarding walkthrough, the feature set, an in-action section, and an FAQ that takes the hard questions directly.

Key features

  • Dashboard preview with feature-importance ranking, risk score, and vitals
  • Suggested next steps panel translating a score into clinical action
  • Four-card problem framing — reactive care, untapped data, manual methods, missed interventions
  • Four-step onboarding walkthrough from account to instant results
  • Feature set covering real-time risk analytics, clinical feature analysis, and explainable AI
  • FAQ answering accuracy, required inputs, prediction speed, and clinical safety
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