Mass General making strides in machine learning

William Doss | | Radiology Business | Imaging Informatics

Massachusetts General Hospital in Boston was the first medical institution to receive an NVIDIA DGX-1, a supercomputer purpose-built for machine learning and artificial intelligence applications.

Since it received the DGX-1 in April, Mass General has developed a program that can measure bone age to speed diagnosis of growth disorders in children, assessing bone age nearly as accurately as a human radiologist.

“The importance of machine learning and machine learning for radiology is unquestioned,” said James Brink, MD, head of radiology at Mass General and chair of the American College of Radiologists. “I think there’s an enormous amount of opportunity for us to improve the efficiency of our work and the accuracy of our work through automation and semi-automation.”

Read more about the work in Mass General’s Clinical Data Science Center at the link below.

 

Man, Machine and Medicine: Mass General Researchers Using AI

William Doss

As a Senior Writer for TriMed Media Group, Will covers radiology practice improvement, policy, and finance. He lives in Chicago and holds a bachelor’s degree in Life Science Communication and Global Health from the University of Wisconsin-Madison. He previously worked as a media specialist for the UW School of Medicine and Public Health. Outside of work you might see him at one of the many live music venues in Chicago or walking his dog Holly around Lakeview.

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