Local medical 3D printing company Axial3D has been recognised as a global health technology leader in the 2020 Global Digital Health 100 list.
Belfast-based medtech firm Axial3D had a fantastic 2019, securing millions in funding and winning awards at the European DatSci Awards and Platinum Awards. It looks like the company is off to a great start in 2020 too, as it's now been named in the 2020 Global Digital Health 100 list as a global Healthcare Technology leader.
The annual Global Digital Health 100 list recognises some of the most innovative medtech startups around the world, presenting awards to companies that demonstrate great potential to change the way that healthcare is delivered worldwide. Previous companies on the list have gone on to become some of the world's most successful health tech firms, such as Babylon Health and One Medical.
Axial3D was recognised for its innovative application of machine learning algorithms to drastically speed up production time of the 3D printing process, something we got a sneak peek of at last year's NI Dev Conference. The company turns medical scan data into accurate 3D prints that can then be used to plan operations, giving surgeons a more hands-on way to plan very complex procedures.
Custom models can be produced through Axial3D's process and ready to ship within 48 hours, a process that would previously have taken around 8 weeks without the company's 3D printing service. The models can help surgeons plan everything from bone reconstruction to organ transplants, and was successfully used by a Belfast surgeon to aid a life-saving transplant last year.
Roger Johnston, CEO at Axial3D said "Axial3D being listed as a global leader of healthcare technology on the Global Digital Health 100 is a great recognition of the change in surgical planning being driven by our team. This announcement shows the real value that our patient-specific 3D anatomical models are adding to the patient journey. With nearly 8 million complex procedures taking place each year, the need for 3D models for surgical planning is great, but it is only with the automation of the model creation process that this potential can be realized."
Source: Written based on press release
