MVision AI software

GBS™ Solution is an integrated suite designed for radiation oncology professionals, consisting of three synergistic tools: Contour+, Guide, and Verify. Contour+ is an AI-driven auto-contouring software that significantly reduces the time required to generate reliable and consistent contours, enhancing the precision of radiotherapy treatment. Guide provides a training environment for practitioners to develop guideline expertise, refine contouring skills, and gain insights into AI model training, while Verify offers a contour comparison tool that allows for structure analysis from diverse sources, ensuring clarity and accuracy in contour assessments. This robust solution facilitates a standardized guideline-based approach, driving consistency and cost-efficiency in radiotherapy practices. By empowering users with essential contouring knowledge and insight into AI predictions, GBS™ fosters confidence in contour accuracy and decision-making, substantially improving the efficiency and reliability of the auto-contouring review process.

Contour+ is an advanced AI-powered software designed for auto-contouring in radiotherapy. It provides precise auto-segmentation of organs-at-risk and lymph nodes, crucial for forming effective and consistent treatment plans. Utilizing models adhering to international best practices, Contour+ assures standardized contours which enhance inter-clinic collaboration. It significantly decreases manual effort and contour variability, offering up to a 95% reduction in workload. The software integrates seamlessly with existing treatment planning systems and caters to stringent data protection standards such as GDPR and HIPAA. This ensures data security and patient confidentiality during the automatic segmentation process. Moreover, Contour+ offers a robust structure library, supporting more than 300 anatomical sites with models validated by global guidelines like those of ESTRO and RTOG. The cloud-based deployment allows for rapid updates to AI algorithms, while a local solution ensures compliance with stricter regulations. The software, therefore, improves clinical workflows and accelerates patient access to necessary treatments.

Dose+ is an innovative AI-powered solution tailored for radiotherapy planning, particularly for prostate and pelvic lymph node treatments. Utilizing machine learning, it offers personalized patient-specific dose predictions to enhance plan optimization, ensuring that treatment aligns with clinical best practices. The system analyzes individual patient anatomy to generate tailored 3D dose estimates, implementable in any DICOM-compliant treatment planning system. It translates CT images and structure sets into clinically realistic VMAT dose distributions, providing a robust starting point for further plan refinement. This capability improves efficiency across different clinical scenarios, reducing planner variability, and enhancing treatment consistency. Dose+ features specialized AI models for prostate cancer with or without lymph node involvement, capable of complex simultaneous integrated boost techniques. It seamlessly integrates with existing systems, adhering to GDPR and HIPAA standards to ensure data security. Furthermore, its automated processing allows for rapid clinical implementation, speeding up workflows without compromising on quality.

Image+ is a sophisticated module designed to enhance radiotherapy planning by generating synthetic CT images from various types of inputs such as MRI, CBCT, and contrast-enhanced CT scans. This module is pivotal in supporting photon dose calculations essential for treatment planning and offline adaptive workflows. Image+ offers clinicians the flexibility to perform MR-only planning, preserving excellent soft tissue visibility without the need for additional simulation CTs. It includes adaptive support by converting daily CBCT scans into synthetic CTs to facilitate recalculation and offline adaptive replanning. The module further provides virtual non-contrast images from contrast-enhanced CT, simplifying simulation procedures. Image+ employs clinically evaluated models, including MR T1 for brain, MR T2 for pelvis, and VNC, catering to diverse photon-based planning requirements. The interface ensures that clinicians review synthetic CT outputs to meet clinical standards before implementation, thus maintaining control over radiotherapy outcomes.