General Electric Co.’s healthcare division has reportedly announced its partnership with chipmaker giant NVIDIA Corp. to speed up its processing of healthcare data and medical images. Reportedly, GE will leverage on Nvidia’s sophisticated artificial-intelligence systems and graphical processing units that will be deployed in GE’s 500,00 imaging devices worldwide.
According to experts, the deal is all likely to brew a fresh storm in holographic imaging industry, in which medical imaging sector holds a major chunk.
As the healthcare professionals are striving to increase their efficiency to serve an ever-growing population, experts cite that the global healthcare and medical devices industry players are turning to artificial intelligence and machine learning as essential tools that are set to improve patient outcomes and productivity. According to a company statement issued in a joint release, GE revealed that the partnership between the two will help them drive faster examination times, higher quality medical imaging, and lower radiation doses for patients.
Reports further claim that the partnership is likely to provide an enhanced version of NVIDIA-powered Revolution Frontier CT – a device which is touted to be two times faster in image processing than its predecessor. GE has also mentioned that the updated version of Revolution Frontier will be better at kidney lesion characterization and liver lesion detection. Noting the dramatic improvement in the level of diagnosis that medical imaging has created, analysts expect this move to bring forth a plethora of opportunities for holographic imaging market players.
According to experts, the numerous innovations in holographic imaging industry have revolutionized the field of medical imaging science, empowering surgeons with better analyzing and diagnostic techniques.
Commenting on the recent partnership, the founder and CEO of Nvidia, Jensen Huang, said that the deal is likely to bring forth a suite of next-generation intelligent instruments that could dramatically improve the overall patient care.