Assistive AI for Radiology

Catch cancer earlier.
Keep clinicians in control.

Our decision-support software helps radiologists identify suspicious findings with transparent confidence and case context—designed for bright ERs, dim reading rooms, and everything in between.

Built for clinical rigor Audit trails, explainability, and human-in-the-loop workflows.
Security first Data isolation & role-based access controls.
Operationally ready Fast to deploy; resilient on standard hospital hardware.

Confidence clarity (example)

Pulmonary nodule likelihood (LUL)
87%
Interpretation: Very high confidence 95% interval: 78–92% Double-encoded: color + label + % + position
Lesion growth probability
63%
Interpretation: Moderate confidence 95% interval: 54–70% Consider clinical context
Metastasis risk flag
28%
Interpretation: Low confidence — verify 95% interval: 20–36% Prompts second look
How to read these scores

Each estimate shows a point score (marker), a 95% uncertainty band (patterned range), textual label (e.g., “Very high”), and neutral colors. This avoids red/green-only cues and helps on poor displays.

Assist, never replace

Designed to augment radiologists. Workflows keep the clinician in control with reversible suggestions, clear provenance, and easy overrides.

Readable in any room

Light, dark, and high-contrast themes; ER Mode enlarges targets and spacing for end-of-shift use. Tick-marked gauges remain legible on poor monitors.

Built for committees

A modern, credible aesthetic communicates innovation without flash, while auditability and clear risk language build trust for conservative boards.

Confidence legend

Very high / High — act with standard review
Moderate — weigh with clinical context
Low — prompts second look / corroboration
Dual coding: color + label + % + position + pattern

Display check

Use this quick check to adjust brightness/contrast on older monitors.

Tip: You should be able to distinguish at least 10 of the 12 steps above.