AI in Healthcare February 13, 2020
Michael Walter

AI promises to make a titanic impact on radiology, but most of the attention tends to focus on its ability to identify important findings in medical images. What about the technology’s non-interpretive qualities?

A new analysis published in Academic Radiology detailed some of the many other ways AI can help the specialty on a regular basis. These are 10 ways AI can be used in radiology that do not involve the interpretation of imaging findings:  

1. Noise Reduction

AI’s ability to enhance image quality helps radiologists do their job and provide the most accurate diagnosis possible.

“Initial deep learning techniques resulted in over-smooth images with loss of details and compromised visibility of essential structures,” wrote lead author Michael L. Richardson,...