AI-powered precision oncology imaging and automated radiotherapy workflows.
Mirada Medical is a global leader in advanced medical imaging software, specializing in AI-driven solutions for oncology and radiotherapy. As of 2026, the company has solidified its market position by leveraging its proprietary Deep Learning Contouring (DLCExpert) and Deformable Image Registration (DIR) technologies to automate the highly labor-intensive process of organ-at-risk (OAR) segmentation. Their technical architecture is built on a vendor-neutral platform, allowing seamless integration with existing PACS, DICOM RT, and treatment planning systems (TPS). Mirada's solutions, such as RTx and CaseWorks, utilize sophisticated convolutional neural networks (CNNs) trained on vast, curated clinical datasets to provide high-accuracy auto-segmentation that meets or exceeds clinician performance. The platform's 2026 roadmap emphasizes 'Adaptive Radiotherapy' (ART) support, enabling real-time adjustments to treatment plans based on anatomical changes detected during the course of therapy. By automating routine tasks, Mirada allows clinicians to focus on complex decision-making, significantly reducing the time from diagnosis to treatment while improving the consistency and quality of care across multi-site hospital networks.
Mirada Medical is a global leader in advanced medical imaging software, specializing in AI-driven solutions for oncology and radiotherapy.
Explore all tools that specialize in auto-segmentation. This domain focus ensures Mirada Medical delivers optimized results for this specific requirement.
AI-based auto-segmentation using deep convolutional neural networks trained on expert-curated data.
Advanced algorithms to align multi-modal images (e.g., PET to CT) where anatomy has shifted.
Personalized dosimetry software for Yttrium-90 (Y90) liver radioembolization planning.
Automated processing of images the moment they arrive from the scanner via DICOM push.
Tools for longitudinal tracking of tumor volumes across PET, CT, and MRI over time.
A workflow tool designed to share deformable registration results across the enterprise.
Real-time re-contouring based on daily Cone Beam CT (CBCT) images.
Conduct site infrastructure audit for PACS/DICOM connectivity.
Deploy Mirada Gateway for secure, HIPAA-compliant data transfer.
Configure DICOM nodes for automated image routing.
Install DLCExpert server-side AI models on local or cloud GPU instances.
Define clinical protocols and institutional contouring standards.
Execute model validation using historical institutional datasets.
Train lead clinicians on the RTx or CaseWorks interface.
Implement QA workflows for manual review of AI-generated contours.
Establish bi-directional integration with the Treatment Planning System (TPS).
Go-live with monitored clinical production and 24/7 technical support.
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Verified feedback from other users.
"Clinicians highly value the speed of DLCExpert and the robustness of the deformable registration, though some note the high initial cost of enterprise implementation."
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