Rad-Plan

AI-powered radiotherapy planning that standardizes quality, accelerates optimization, and improves organ-at-risk protection.

The Problem

Radiotherapy planning today relies heavily on manual trial-and-error. Plan quality varies between planners, optimization is time-consuming, and achieving consistent OAR sparing remains a challenge.

Planner Dependency

Outcomes depend strongly on individual experience, leading to variability in plan quality.

Inefficient Optimization

Repeated manual tuning of objectives slows workflows and increases planning time.

Inconsistent OAR Protection

Achievable dose fall-off is often unknown upfront, resulting in unrealistic constraints.

The Rad-Plan Solution

Rad-Plan is an intelligent planning assistant integrated into the radiotherapy workflow, generating realistic, patient-specific optimization objectives.

INPUT RAD-PLAN ENGINE OUTPUT Patient Geometry PTV & Organs-at-Risk Spatial Analysis Distance, overlap, proximity Dose Fall-off Estimation Optimization Objectives Clinically achievable starting constraints RP file

Value Proposition

Standardized Quality

Geometry-driven objectives reduce variability and raise baseline plan quality.

Faster Planning

High-quality starting objectives minimize iterations and speed convergence.

Better OAR Protection

Patient-specific dose fall-off estimation improves sparing without compromising targets.

Human-in-the-Loop

Planners fine-tune constraints instead of rebuilding plans from scratch.

More Information

This page provides a high-level overview of Rad-Plan. For detailed technical, clinical, and product information, visit our main website.

Visit radiationknowledge.org

Interested in partnering, investing, or learning more?

Contact ahmad@radplan.ai