Prostate MR AI (VA10A)
Overview
Prostate MR AI (VA10A) by Siemens Healthineers is a Radiological Computer Assisted Detection and Diagnosis Software (CADe/CADx) designed to enhance prostate MRI reading and reporting. It leverages artificial intelligence to assist radiologists in the interpretation of multiparametric Prostate MRI examinations, particularly those acquired according to the PI-RADS standard. The tool aids in the detection and classification of suspicious prostate lesions and can generate a pre-populated report. It automatically segments the prostate gland and marks its outer contour, significantly reducing the time required for manual contouring. The results, including lesion candidates and suspicion maps, can be exported in RTSS format, facilitating targeted MR-US fusion biopsies by urologists. This solution aims to streamline workflows, reduce the burden of routine tasks for radiologists, and support more informed clinical decision-making for prostate cancer diagnosis and treatment planning.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- Lesion candidate localization and classification
- Pre-populated PI-RADS report generation
- Prostate gland segmentation and volumetric assessment
- Suspicion map highlighting lesion candidates
- Export results in RTSS format for TRUS-guided biopsy
- Automatic prostate contouring
- Manual contouring manipulation and annotation
- Calculation of PSA density
- DICOM compliant
- Cloud-based image processing software
Use Cases
- Prostate MRI reading and reporting
- Interpretation of multiparametric Prostate MRI
- Detection and classification of prostate lesions
- Facilitating targeted MR-US fusion biopsies
- Reducing radiologist workload by automating routine tasks
- Supporting clinical decision-making for prostate cancer
Details
| Category | Oncology AI, Radiology & Imaging AI, Surgical AI |
| Pricing | Contact for pricing — Subscription-based SaaS model; 90-day trial license available for AI-Rad Companion family products. |
| Deployment | Hybrid (locally on dedicated hardware/virtualized, and cloud-based via teamplay platform) |
| Compliance | |
| BAA Available | Yes AI-estimated |
| HIPAA Compliant | Yes AI-estimated |
| FDA Status |
1 AI-estimated Prostate MR AI (VA10A) received FDA clearance (K241770) as Radiological Computer Assisted Detection and Diagnosis Software (CADe/CADx). The FDA determined it is substantially equivalent to legally marketed predicate devices, allowing it to be marketed under the Federal Food, Drug, and Cosmetic Act. |
| Integrations | |
| EHR | Not specified |
| Specialties | Oncology, Radiology, Urology |
What the Web Says
Siemens Healthineers' Prostate MR AI (VA10A) is an FDA-cleared AI-powered solution designed to assist radiologists in interpreting multiparametric MRI images of the prostate. It aims to improve the detection and classification of prostate lesions, reduce reading times, and enhance reporting consistency. The tool functions as a concurrent reading aid, providing automated segmentation of the prostate and facilitating targeted MR/US-fusion biopsies.
Overall: PositiveStrengths
- Increases inter-reader concordance by 63% and reduces median reading time by 21%.
- Improves lesion assessment accuracy, especially for less-experienced radiologists, bringing their performance closer to that of experienced radiologists.
- Automates prostate segmentation and volume measurement, providing consistent gland outlining.
- Assists in reporting consistency by providing structured data extraction and reminders for required reporting elements.
- Facilitates targeted MR/US-fusion biopsies by exporting segmentation results and lesion contours.
- Can prioritize likely-positive exams in high-volume settings, aiding workflow triage.
Limitations
- Can generate false positives due to artifacts, prostatitis, or hemorrhage.
- Accuracy can be reduced by large glands, BPH nodules, or poor image quality.
- Does not substitute for PI-RADS knowledge or systematic image review.
- AI performance is dependent on image quality and can be degraded by motion, susceptibility artifacts, and unusual anatomy.
- Risk of overreliance, where radiologists may tend to confirm rather than question AI output.
- A model trained on one population or scanner mix may not behave the same way in another practice.
Based on reviews from: vertexaisearch.cloud.google.com, www.siemens-healthineers.com, accessdata.fda.gov, www.innolitics.com
Last updated: 2026-07-19
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Using AI for Prostate Cancer Detection - case-based review
