Incorporating technology in healthcare has made the use of telehealth applications popular. Technology is getting superior day by day. The New York University School of Medicine is joining hands with Facebook to make MRI scans up to 10 times faster. The medical school is not that interested in Facebook’s timeline. It is more focused on how advance algorithms and Artificial Intelligence can solve a nuanced but, important issue in healthcare.
Researchers working alongside NYU’s Department of Radiology announced that the new initiative with Facebook’s lead AI researcher to determine ways to improve the speed of MRIs as these MRIs can require patients to stay in one position for as long as an hour.
In a blog post NYU School of Medicine’s Daniel Sodickson, M.D., Ph.D , Michael Recht, M.D. and Larry Zinick, who leads the Facebook Artificial Intelligence Research (FAIR) group, said AI can lead to the speeding up of MRI procedures by training neural networks to recognize and fill in date omitted by a faster scan.
The project leads realize that they are taking up on exceedingly hard problem, because inaccurate images could alter images and this could lead radiologists to miss vital medical challenges.