AI poised to ‘transform’ medical imaging, radiology society says
The success of emerging artificial intelligence techniques in image analysis is fostering rapid growth in the use of deep learning for medical imaging, with the resulting computer vision systems able to perform some clinical interpretation tasks at the level of expert physicians, according to the authors of a paper published in Radiology, the official journal of the Radiological Society of North America.
“Machine learning algorithms will transform clinical imaging practice over the next decade” by reducing diagnostic errors, improving patient outcomes, enhancing efficiency and lowering costs, the authors predict.
The report is intended to be a blueprint for professional societies, funding agencies, research labs and others in the field to accelerate research on AI innovations that benefit patients, the authors said.
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