EFAI RTSUITE CT HCAP-Segmentation System
Overview
The EFAI RTSUITE CT HCAP-Segmentation System is an AI-powered software tool developed by Ever Fortune.AI Co. to enhance the efficiency and accuracy of radiation therapy treatment planning. It is designed to assist trained radiation oncology professionals, including radiation oncologists, medical physicists, and dosimetrists, by automatically outlining critical organs at risk (OARs) on non-contrast CT images for adult patients. This standalone software leverages deep learning algorithms to process DICOM input images and generate RTSTRUCT output, which can then be integrated seamlessly with any DICOM-compliant radiation therapy treatment planning system (TPS). The system aims to significantly reduce the time-consuming manual contouring process, thereby accelerating clinical workflows and improving treatment timeliness. It has been clinically validated on a large dataset, demonstrating high accuracy in segmenting various anatomical structures across multiple body regions, including the head, neck, thorax, abdomen, and male pelvis. The latest version of the auto-contouring system integrates numerous critical anatomical structures, supporting automated contouring tasks for both CT and MR imaging, and offers delineation of up to 80 critical organ structures.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- AI-powered automatic outlining of organs at risk (OARs) on CT scans
- Assists radiation oncology professionals in treatment planning
- Processes DICOM input and generates RTSTRUCT output
- Integrates with DICOM-compliant radiation therapy treatment planning systems (TPS)
- Supports multiple body regions including head, neck, thorax, abdomen, and male pelvis
- Validated on 1,846 adult cases with high accuracy (mean Dice Similarity Coefficient of 0.83)
- Standalone software using deep learning algorithms
- Delineates up to 80 critical organ structures
- Enhances radiotherapy workflow efficiency
- No user interface within the device itself; relies on integration with TPS
Use Cases
- Radiation therapy treatment planning
- Automated contouring of organs at risk (OARs)
- Improving workflow efficiency in radiation oncology departments
- Assisting radiation oncologists, medical physicists, and dosimetrists
- Reducing manual contouring time
What Physicians Need to Know
This AI tool can significantly reduce the time spent on manual contouring of organs-at-risk in radiation therapy planning, allowing for more efficient workflows. However, always review and edit the automatically generated contours within your DICOM-compliant treatment planning system to ensure accuracy and patient safety. The expanded coverage of anatomical regions and support for both CT and MR imaging in the latest version can be particularly beneficial for comprehensive treatment planning.
The EFAI RTSUITE CT HCAP-Segmentation System is designed to integrate with existing DICOM-compliant treatment planning systems. It outputs DICOM RTSS files, which are standard for radiation therapy planning. This ensures compatibility with a wide range of clinical workflows and software.
Details
| Category | Oncology AI, Radiology & Imaging AI |
| Pricing | Contact for pricing |
| Deployment | Installed on specialized local servers. |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status | Cleared AI-estimated |
| Integrations | |
| EHR | Not specified |
| Specialties | Oncology, Radiology |
What the Web Says
The EFAI RTSUITE CT HCAP-Segmentation System is a software device designed to assist radiation oncology professionals in treatment planning. It uses deep-learning algorithms to provide initial contours of organs at risk on non-contrast CT images, which are then transferred to radiation therapy treatment planning systems for review and editing. The system is intended as an adjunct tool and does not have its own user interface, relying on integration with existing DICOM-compliant systems.
Overall: PositiveStrengths
- Assists trained radiation oncology professionals in radiation-treatment planning.
- Provides initial deep-learning contours of organs at risk on non-contrast CT images.
- Automates the contouring process, sending results as DICOM-RT Structure Sets.
- Integrates with existing DICOM-compliant treatment planning systems.
- FDA-cleared as a Class II medical device.
Limitations
- Does not have its own user interface, requiring integration with other systems.
- Not intended for decision-making or lesion detection.
- Cannot replace a clinician's judgment and manual contouring.
- Clinicians must review and edit the software-generated output; it cannot be used alone as the primary interpretation.
- Intended for use on adult patients only.
Based on reviews from: fda.gov, parikhradiology.com, innolitics.com, fda.report
Last updated: 2026-10-30
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