Advanced 3D augmented reality technology providing a more accurate, effective and efficient method of medical education

Project

Description
With the new generation of medical students currently in universities having grown up using technologies it has caused a shortening of their attention spans thus meaning the current method of learning can be less efficient. Compounded by unneeded or out of date information in textbooks, which cause problems of convoluting essential information & distracting the students. An innovative, SaaS solution from Anatomy Next allows end-users to accelerate & to enhance the spatial awareness of the human anatomy, all while reducing the overall cost and time of the process to combat this growing problem. AN’s solution does so by creating highly accurate, interactive 3D anatomical models, incorporating cutting-edge Augmented Reality technology. Available as a web-based platform, mobile application & HoloLens application, offered to universities & their students/staff in different packages. Unlike other competitors on the market or in development, AN has the 3D anatomical models validated by medical consultants & uses the FMA Ontology as an extensive database of all types (race, sex, age) of human body structures, in alignment with medical knowledge, providing precise anatomical information unseen in such a medium. Offering users integrated AR technology & an option to 3D print sections of the models for a personal and ‘hands-on’ learning experience that’s proven to be a very efficient method of learning that is favoured by students. AN received a pre-seed loan of €50K & raised €500K from private investors and venture capitalists, & look to continue ongoing dialogue with investors following the company. Currently 31 employees with specialities in human anatomy, software development, 3D rendering, business development and project management are working at AN. The proposed work in Phase 1 of the SME instrument fits into the overall plan to reach market by contributing the financial resources needed for a fast, sound & wider deployment of the SaaS solution & the market uptake.
Year 2018

Taxonomy Associations

Methods
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