Medical imaging and radiology
Aidoc
Clinical AI platform for radiology and enterprise imaging workflows.
Last updated: June 5, 2026
Back to directoryMirada DLCExpert medical AI product profile
Deep-learning autocontouring software from Mirada Medical for radiotherapy treatment-planning workflows and clinician-reviewed organ-at-risk contours.
Medical imaging and radiology
Best fit
Radiotherapy teams that want configurable AI contouring across head and neck, thorax, breast, prostate, and other OAR workflows with formal quality review.
- Primary use case
- Deep-learning contouring for organs-at-risk, zero-click autocontouring workflows, CT treatment-planning structures, and radiotherapy contour quality support
- Audience
- Radiation oncology departments, NHS or health-system AI adoption teams, dosimetrists, medical physicists, and treatment-planning leaders
- Risk level
- High
- Pricing signal
- Enterprise medical imaging software pricing; verify current DLCExpert, RTx, Workflow Box, licensing, deployment, support, and regional terms.
- Official sources
- 4 official sources
Compare within workflow: Medical imaging and radiology · comparison shortlist · source index
Regulatory, privacy, evidence, and workflow lens
Product-specific review. These product-specific signals summarize what the cited sources imply before treating Mirada DLCExpert as safe for a local clinical, operational, or research workflow.
| Regulatory / FDA | Verify current regulatory status, software version, anatomy, modality, deployment geography, and whether older DLCExpert clearance or CE materials apply to the purchased configuration. |
|---|---|
| Privacy | Review image routing, remote-reporting deployment, support access, user permissions, retention, audit logs, and contractual data-processing terms for radiotherapy images and contours. |
| Evidence | Commission contour quality by anatomy and site, compare edit burden against local standards, review clinical-acceptability studies, and monitor downstream plan-quality impact. |
| Workflow | Best governed as a zero-click initial contouring workflow with physician and dosimetrist review, documented edits, physicist oversight, and manual fallback. |
Where Mirada DLCExpert fits
Mirada describes DLCExpert as deep-learning software for CT organ-at-risk autocontouring in radiation oncology, with zero-click workflow support and configurable structure libraries; Mirada materials and NHS AI Award notes emphasize clinical validation and clinician confidence-building for adoption.
Not for: Tumor delineation without expert input, unreviewed OAR contours, unsupported anatomy, or assuming historical FDA or CE statements cover the currently licensed release.
What to verify before using Mirada DLCExpert
- Current FDA, CE, UK, or local regulatory status, DLCExpert version, Workflow Box or RTx configuration, anatomy coverage, and modality scope.
- Zero-click workflow design, treatment-planning system handoff, contour editing tools, structure naming, user permissions, and documentation of clinician review.
- How CT images, contours, remote reporting, support access, logs, retention, and any model-training or patient-communication data are handled.
- Local validation for head and neck, thorax, breast, prostate, abdominal structures, outlier anatomy, contour edit time, clinical acceptability, and plan-quality effects.
Source links
Use these links to confirm current claims, terms, regulatory status, pricing, and deployment requirements.
- www.mirada-medical.com / radiation-oncology
- www.mirada-medical.com / post / mirada-works-with-nhs-on-second-ai-award
- www.mirada-medical.com / post / kaposvar-upgrades-to-mirada-zero-click-dlcexpert-ai-autocontouring-solution-consistently-saving-40
- www.astro.org / ASTRO / media
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