HELSINKI, Finland – April 2025 — Contour+, MVision AI’s AI-powered auto-contouring software, has received market clearance from the United Arab Emirates Ministry of Health and Prevention (MOHAP). This clearance allows its use in clinical radiation therapy workflows across the country.
Contour+ is designed to support radiation oncology professionals by delivering fast, accurate, and guideline-compliant anatomical segmentation. Trained on over 25 international radiotherapy protocols, it automatically segments more than 300 anatomical structures, including 90 lymph node regions. The software integrates with both cloud-based and on-premises treatment planning systems, enabling seamless implementation across varied clinical environments.
“Market clearance in the UAE represents a key step toward improving access to high-quality radiotherapy planning in the region,” said Saad Ullah Akram, CEO and CTO of MVision AI. “With Contour+, we aim to reduce delays in planning and help clinical teams deliver more consistent care with less manual effort.”
Incorporating Contour+ into routine clinical use supports more streamlined workflows, reduces manual workload by up to 95%, and improves consistency across treatment plans. Independent evaluations conducted across leading institutions in Europe and the UK have consistently demonstrated high clinical acceptance, guideline compliance, time-saving potential, and positive impact on treatment planning accuracy [1–3].
MVision AI continues to expand the clinical availability of Contour+ to support data-driven and standardised radiation therapy planning across global markets.
For more information, visit www.mvision.ai or contact info@mvision.ai.
About MVision AI
MVision AI is a leading provider of AI-powered solutions for radiation therapy treatment planning. Our mission is to empower Radiation Oncology professionals with cutting-edge technology to streamline workflows, enhance treatment quality, and facilitate more patient-focused care. With a commitment to innovation and excellence, MVision AI continues to advance cancer care through the power of AI.
References
- Strolin S, Santoro M, Paolani G, et al. How smart is artificial intelligence in organs delineation? Testing a CE and FDA-approved Deep-Learning tool using multiple expert contours delineated on planning CT images. Front Oncol. 2023;13:1089807. Published 2023 Mar 2. doi:10.3389/fonc.2023.1089807
- S Warren, N Richmond, A Wowk, M Wilkinson, K Wright. AI segmentation as a quality improvement tool in radiotherapy planning for breast cancer. IPEM-Translation, Volumes 6–8, 2023, https://doi.org/10.1016/j.ipemt.2023.100020
- Meixner E, Glogauer B, Klüter S, et al. Validation of different automated segmentation models for target volume contouring in postoperative radiotherapy for breast cancer and regional nodal irradiation. Clin Transl Radiat Oncol. 2024;49:100855. Published 2024 Sep 11. doi:10.1016/j.ctro.2024.100855