axial3D

what is your main idea?

Complex injuries are hard to interpret in 2D medical images. Making these scans real by 3D printing them provide huge benefits to patient care. Making surgery safer and more cost effective. The process of turning these images into 3D data for 3D printing is extremely complex, time consuming & expensive, obstructing worldwide adoption. The company are creating a unique software category in this early stage market based on machine leaning to automate every process in creating functional 3D models from 2D files eliminating costly human intervention. This opens the multi billion dollar medical 3D printing market to the masses.

What is/was your biggest challenge so far?

The biggest challenge for axial3D internally has been in the ability to scale our offering. Manually processing medical images to create 3D printable files takes hours of technical intervention. Servicing the global market of 3 million complex procedures annually was completely unfeasible. Axial3D have started to create a completely automated method of forming 3D printable files from medical images. This is based on a machine learning  algorithm trained on 10’s of thousands of expertly labelled datapoints. Once fully developed, the company will have the ability to make 3D printing routine in every hospital around the world, helping improve the standard of care for millions of patients.

What does a (good) partner mean for you?

A good partner is someone who can help us fast track our vision of routine medical 3D printing. We are creating a unique set of algorithms that enables surgeons all around the world to take advantage of medical 3D printing’s huge capabilities. To deploy this at scale we will rely on partners who can help us navigate the complexities of healthcare markets and get this technology into the hands of as many surgeons as possible.