AVIEW RT ACS
Overview
AVIEW RT ACS by Coreline Soft is an advanced AI-based radiotherapy autocontouring system designed to enhance the efficiency and accuracy of radiation treatment planning. Utilizing deep learning technology, it automatically segments organs at risk (OARs) on CT images, significantly reducing the time and effort required for manual contouring. The system supports contouring for various anatomical regions, including the head and neck, breast, abdomen, and pelvis. By generating output in RT-DICOM format, AVIEW RT ACS seamlessly integrates into existing radiation treatment planning workflows, aiming to improve consistency and reduce variability among medical professionals. It is part of Coreline Soft’s broader AVIEW platform, which focuses on AI-driven diagnostic solutions for medical imaging.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- Deep learning-based automatic organ segmentation
- Supports head & neck, breast, abdomen, and pelvis contouring
- Generates RT-DICOM format output
- Reduces manual contouring time
- Increases accuracy and consistency in contouring
- Integrates with existing radiation treatment planning workflows (DICOM 3.0 support)
- AI-powered medical image analysis
- Automated contouring server for radiotherapy
Use Cases
- Radiation treatment planning
- Automated segmentation of organs at risk (OARs)
- Breast radiotherapy planning
- Head and neck radiotherapy planning
- Abdomen and pelvis radiotherapy planning
- Streamlining radiology workflows
What Physicians Need to Know
AVIEW RT ACS can significantly reduce the manual effort and time involved in organ segmentation for radiation therapy planning, allowing for more focus on critical treatment strategy. The FDA and CE clearances indicate a level of regulatory confidence in the tool. Consider how its automated contouring for various body regions (head and neck, breast, abdomen, pelvis) could streamline your specific workflow. The integration with PACS and "zero-click" automation could further enhance efficiency. The availability of research publications suggests a commitment to validating the software's performance.
AVIEW RT ACS is designed to integrate with radiation treatment planning workflows by accepting data from CT scans and automatically segmenting organs upon upload. Coreline Soft is actively working on deeper integration with clinical workflows and healthcare platforms, including PACS-integrated, "zero-click" automation in collaboration with INFINITT North America.
Details
| Category | Oncology AI, Radiology & Imaging AI |
| Pricing | Unknown |
| Deployment | On-premises (PACS integration) |
| Data Export | Unknown |
| Training | Unknown |
| Compliance | |
| BAA Available | Unknown |
| HIPAA Compliant | Yes AI-estimated |
| FDA Status | Cleared AI-estimated |
| GDPR | Yes AI-estimated |
| Integrations | |
| EHR | Not specified |
| Specialties | Oncology, Radiology |
Support & Reliability
| Training Provided | Unknown |
What the Web Says
AVIEW RT ACS by Coreline Soft is an AI-powered auto-contouring solution designed for radiation therapy planning. It automatically segments organs from CT scans, aiming to reduce the time and effort clinicians spend on manual contouring, thereby allowing them to focus more on treatment planning. The system has received FDA clearance and supports various anatomical sites including head and neck, breast, abdomen, and pelvis.
Overall: PositiveStrengths
- Automated organ segmentation using deep learning AI technology.
- High accuracy in automatic segmentation performance for various organs.
- Reduces time and effort spent on manual contouring for radiation therapy planning.
- DICOM RT support allows integration into existing radiation treatment plan workflows.
- Provides segmentation results for on-screen review in multiplanar (Axial, Sagittal, Coronal) and 3D views.
- Includes information related to ESTRO / RTOG guidelines for reference.
Limitations
- No specific cons were found in the provided search results from physicians, healthcare IT, tech reviewers, Reddit, G2, or Capterra.
Based on reviews from: youtube.com, instagram.com, auntminnie.com, healthcareaiops.com, healthairegister.com, corelinesoft.com, businesswire.com
Last updated: 2026-10-29
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