Introduction

MAGES™ SDK is a powerful asset that lets you create immersive XR simulations like never before. Whether you’re a seasoned developer or a newcomer, unlock the full potential of virtual medical training. Elevate your simulations, amplify engagement, and redefine the future of medical education with MAGES SDK.

MAGES™ SDK 5 [NXT] is the evolution of MAGES™ SDK 4.

../_images/coop1.png

What does MAGES stand for

  • Multiplayer With Geometric Algebra Interpolation

Our custom Multiplayer engine operates atop standard networking protocols. It optimizes data sharing by utilizing our custom geometric algebra interpolation engine transmitting only key transformations across the network, while all intermediate calculations are performed locally. This approach enhances performance and responsiveness.

  • Analytics Engine

Our novel Analytics engine sets a new standard by capturing several hundred events per second, a substantial leap from the current industry norm. These performance-based assessments are stored locally, maximizing flexibility, and can seamlessly be uploaded to the cloud for centralized analysis.

  • Geometric Algebra Deformable Animation, Cutting and Tearing

At the heart of our virtual human animation and deformation lies a Geometric Algebra vertex transformation engine. This engine offers significantly enhanced and robust control over vertex transformations—encompassing translations, rotations, and dilations—resulting in more efficient and lifelike animations.

  • Editor in VR with Action Prototypes

Our algorithm powers an Educational curriculum editor, enabling visual scripting and rapid prototyping of intricate XR learning simulations. This innovative editor is based on a novel learning scene-graph and storyboard Actions, providing a versatile tool for educators and learners alike.

  • Semantically Annotated Deformable, Soft and Rigid Bodies

Our novel particle system, is suitable for real-time elasticity simulations of human tissues and organs, for highly realistic recreation of XR medical training.

In essence, MAGES encapsulates the realms of Multiplayer, Analytics Engine, Geometric Algebra, Educational Curriculum, and Semantic Representation of medical operations—a comprehensive and innovative framework designed to redefine the landscape of immersive learning experiences.

Why MAGES™ SDK

  • Streamlines the process of creating high-quality medical XR simulations for training, assessment, teaching, and treatment.

  • Allows you to author, create, update, future proof simulations with the best technology can offer, in a fraction of time and cost

  • Provide accurate user task performance assessment, capable of reflecting the educational impact, enabling trainees to identify their missing skills and weaknesses and improve them.

  • Efficacy of MAGES built simulations proven in multiple PUBLISHED clinical trials.

../_images/MAGES-SDK.png

Powered by MAGES™

With MAGES™ SDK you can make amazing XR simulations

In more detail

MAGES is a modular SDK consisting of the following modules:

  • Analytics: Analyze user behavior and engagement.

  • Data Container: Efficiently manage and organize data.

  • Device Manager: Seamlessly integrate various hardware devices.

  • JARIA: AI assistant for streamlined development and documentation exploration.

  • Interaction: Create realistic user interactions.

  • SceneGraph: Build immersive and gamified medical scenarios.

  • Networking: Connect users for collaborative experiences.

Our clinical trials

MAGES is scientifically validated from clinical trials:

  1. Kenanidis E, Boutos P, Voulgaris G, Zgouridou A, Gkoura E, Gamie Z, Papagiannakis G, Tsiridis E. Effectiveness of virtual reality compared to video training on acetabular cup and femoral stem implantation accuracy in total hip arthroplasty among medical students: a randomised controlled trial. Int Orthop. 2023 Nov 23. doi: 10.1007/s00264-023-06038-8. Epub ahead of print. PMID: 37993676. read more.

  2. Birrenbach, T., Wespi, R., Hautz, W.E. et al. Development and usability testing of a fully immersive VR simulation for REBOA training. Int J Emerg Med 16, 67 (2023). read more.

  3. Eleni E. Tzekaki, Katsipis G., Andreadou E, Mouzakidis, C., Baldimtsi E, Eleni M. Karathanasi, Mary Hassandra, Evangelos Galanis, Hatzigeorgiadis A, Goudas M, Zikas P, Evangelou G, Papagiannakis G, Bellis G, Kokkotis C, Tsatalas T, Giakas G, Theodorakis Y, Tsolaki M, Pantazaki A, VRADA training system as a non-pharmacological dual intervention to alleviate symptoms of the pathophysiology of Mild Cognitive Impairment, rain Disorders, Volume 11, 2023, 100090, ISSN 2666-4593. read more.

  4. Gyll S, Shader K, Zikas P, Papagiannakis G. Training for Better Transfer in an Online Competency-Based Higher Education Program: Technology’s Role in Preparing the Next Generation Workforce, Designing Context-Rich Learning by Extending Reality, DOI: 10.4018/978-1-6684-7644-4.ch014 read more.

  5. Hooper J, Tsiridis E, Feng JE, Schwarzkopf R, Waren D, Long WJ, Poultsides L, Macaulay W; NYU Virtual Reality Consortium. Virtual Reality Simulation Facilitates Resident Training in Total Hip Arthroplasty: A Randomized Controlled Trial. J Arthroplasty. 2019 Oct;34(10):2278-2283. Epub 2019 Apr 8. PMID: 31056442. read more.

  6. Hassandra M, Galanis E, Hatzigeorgiadis A, Goudas M, Mouzakidis C, Karathanasi EM, Petridou N, Tsolaki M, Zikas P, Evangelou G, Papagiannakis G, Bellis G, Kokkotis C, Panagiotopoulos SR, Giakas G, Theodorakis Y. A Virtual Reality App for Physical and Cognitive Training of Older People With Mild Cognitive Impairment: Mixed Methods Feasibility Study. JMIR Serious Games. 2021 Mar 24;9(1):e24170. doi: 10.2196/24170. PMID: 33759797; PMCID: PMC8294639. read more.

  7. Birrenbach T, Zbinden J, Papagiannakis G, Exadaktylos AK, Müller M, Hautz WE, Sauter TC. Effectiveness and Utility of Virtual Reality Simulation as an Educational Tool for Safe Performance of COVID-19 Diagnostics: Prospective, Randomized Pilot Trial. JMIR Serious Games. 2021 Oct 8;9(4):e29586. doi: 10.2196/29586. PMID: 34623315; PMCID: PMC8510143. read more.

  8. Zikas P, Kateros S, Lydatakis N, Kentros M, Geronikolakis E, Kamarianakis M, Evangelou G, Kartsonaki I, Apostolou A, Birrenbach T, Exadaktylos A K., Sauter T., Papapagiannakis G Virtual Reality Medical Training for COVID-19 Swab Testing and Proper Handling of Personal Protective Equipment: Development and Usability Frontiers in Virtual Reality, volume 2, year 2022 read more.

  9. Kondylakis H, Chicchi Giglioli IA, Katehakis DG, Aldemir H, Zikas P, Papagiannakis G, Hors-Fraile S, González-Sanz PL, Apostolakis KC, Stephanidis C, Núñez-Benjumea FJ, Baños-Rivera RM, Fernandez-Luque L, Kouroubali A. A Digital Health Intervention for Stress and Anxiety Relief in Perioperative Care: Protocol for a Feasibility Randomized Controlled Trial. JMIR Res Protoc. 2022 Nov 29;11(11):e38536. doi: 10.2196/38536. PMID: 36445734; PMCID: PMC9748793. read more.

Find all MAGES related publications here.

../_images/coop2.png

MAGES SDK archive

The latest version of MAGES™ SDK is MAGES™ SDK 5 with the codename NXT

Older versions:

../_images/mages_stack.png

References:

Paul Zikas et al., “MAGES 4.0: Accelerating the World’s Transition to VR Training and Democratizing the Authoring of the Medical Metaverse,” in IEEE Computer Graphics and Applications, vol. 43, no. 2, pp. 43-56, 1 March-April 2023, doi: 10.1109/MCG.2023.3242686.