MVision’s Guideline-Based AI Segmentation is Available in the EduCase Platform

Helsinki – 19th of January, 2022 – MVision AI, the leading provider of the guideline-based solution, collaborates with EduCase, the global leader in web-based education designed to support contouring skill instructions for radiation oncologists. EduCase is a computer-based training tool developed by RadOnc eLearning Center, LLC., to assist the development of structure segmentation (contouring) skills of radiation oncologists, medical physicists, and dosimetrists. 

The educational collaboration entitles EduCase to include MVision’s guideline-compliant AI segmentation, GCAIS™, software in all teaching sessions. This supplements students with hands-on experience working with MVision’s state-of-the-art solution. The MVisionaries will support EduCase to help educate the students, providing them with the unique opportunity to work with our groundbreaking AI models. 

“We are excited to be working with and delivering this new EdTech feature by integrating MVision’s AI segmentation guideline structures into the EduCase contour training platform. We are seeing significant demand in AI training in radiotherapy, and its impact and influence on the  educational ecosystem of Radiation Oncology, Contouring, and Education.” said Scott Kaylor: Co-Founder of EduCase

“Advancements of AI in Radiotherapy are redefining the role of clinicians. Education and training are becoming essential for clinicians to deliver high-quality treatment. Through our collaboration with EduCase, MVision is very excited to bring AI models to the EduCase platform to further accelerate the adoption of this novel technology” said Mahmudul Hasan: Co-Founder and CEO of MVision AI 

Discover EduCase

Website: https://www.educase.com/ 

LinkedIn: https://www.linkedin.com/company/radonc-elearning-center-inc./ 

Are you eager to explore GCAIS™? Request a demo here. 

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Welcome you to contact MVision AI:

c/o Terkko Health Hub, Haartmaninkatu 4, 00290 Helsinki, Finland.

Tel: +358 (0) 40 5489 229

Website: https://www.mvision.ai 

Email: info@mvision.ai 

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