DrAid for Liver Segmentation
Overview
DrAid™ for Liver Segmentation is a web-based AI software designed to assist healthcare professionals in analyzing liver images obtained from CT scans. It provides semi-automated liver segmentation and offers tools for physicians to manually refine these segmentations and identify lesions. The software aids in evaluation and treatment planning by outputting critical measurements such as liver volume, lesion volume, and lesion dimensions. It operates on standard hospital/clinic workstations to support physicians and technicians in their workflow.
The technology processes multiphase CT DICOM images using an AI algorithm for semi-automated liver segmentation, complemented by manual editing capabilities. It includes a DICOM processing module, a liver segmentation viewer, measurement algorithms, and reporting tools.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- Semi-automated liver segmentation using AI algorithm
- Manual refinement of segmentations by physicians
- Identification and segmentation of physician-identified lesions
- Outputs liver volume, lesion volume, and lesion dimensions
- Web-based software application for accessibility
- Processes multiphase CT DICOM images
- Includes DICOM processing module, liver segmentation viewer, measurement algorithms, and reporting tools
- Assists in evaluation and treatment planning
- Operates on standard hospital/clinic workstations
- High accuracy: mean Dice score of 0.9649 and HD95 of 1.7061 for liver segmentation, with liver volume measurement error within 3%
Use Cases
- Analyzing liver images from CT scans
- Assisting in evaluation and treatment planning for liver conditions
- Performing semi-automated liver segmentation
- Identifying and measuring liver lesions
- Supporting classification and localization of liver cancer lesions on CT images
- Enhancing the screening and detection process for liver cancer
What Physicians Need to Know
For physicians utilizing DrAidu2122 for Liver Segmentation, focus on its strengths in pre-operative planning for liver resections, transplant evaluations, and oncology treatment assessments. The semi-automated segmentation and volumetry features can enhance consistency and efficiency in measuring liver and lesion volumes, aiding in precise surgical strategies and monitoring disease progression. Always review and manually refine segmentations as needed, as the AI acts as an assistant, not a definitive diagnostic tool. Leverage its capabilities for detecting and characterizing liver lesions, including hepatocellular carcinoma (HCC), from multiphase CT images.
DrAidu2122 for Liver Segmentation is a web-based software application designed to process multiphase CT DICOM images. It can be easily integrated and deployed into existing hospital systems such as PACS (Picture Archiving and Communication System), HIS (Hospital Information System), RIS (Radiology Information System), and EMR (Electronic Medical Record). VinBrain offers options for both cloud and on-premises deployment through the DrAid Appliance, ensuring flexibility and adherence to data privacy and security standards like HIPAA and NIST.
Details
| Category | Gastroenterology AI, Oncology AI, Radiology & Imaging AI |
| Pricing | Contact for pricing |
| Deployment | Web-based software with options for cloud or on-premises availability via DrAid™ Appliance. |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
1 AI-estimated DrAid™ for Liver Segmentation received FDA 510(k) clearance (K241543) on December 5, 2024, as a web-based software for visualization, evaluation, and reporting of liver and physician-identified lesions using multiphase CT images for patients aged 22 and older. |
| Integrations | |
| EHR | Not specified |
| Specialties | Gastroenterology, Oncology, Radiology |
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