Health IT Analytics July 22, 2019
Jessica Kent

Before machine learning tools can become ubiquitous in medical imaging, researchers need to study radiologists’ views on the technology.

To advance the use of machine learning in medical imaging, researchers will have to examine radiologists’ perceptions of the technology, as well as the cost-effectiveness of these tools, according to a study published in JMIR Medical Informatics.

Countless studies have shown the diagnostic accuracy of machine learning tools. Organizations across the care continuum, from research universities to companies like Google, have developed machine learning algorithms that can identify breast cancer in medical images as effectively as human clinicians.

While the results of these studies have promising implications for the future of radiology and pathology, JMIR researchers noted that more investigations may...

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Topics: AI (Artificial Intelligence), Physician, Provider, Radiology, Technology
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