Artificial intelligence (AI) for mammography is being adopted more widely by radiologists each day, and much has been said about its benefit for patients. But not as much has been said about how AI improves a practice’s bottom line by streamlining the clinical workflow.
Topics: radiology, AI, breast cancer, mammogram, cmTriage, cmAssist, artificial intelligence, mammography, screening, CAD, AI-CAD, Machine Learning, breast cancer awareness, AI Mammogram, Breast imaging, BI-RADS Atlas 5th Edition, FFPI, Dense Breast, BRCA, breast density, CHD, heart disease, cmdensity, SBI, NCBC, ECR
Artificial intelligence (AI) is quickly becoming a mainstay in radiology, and it’s helping doctors read mammograms more accurately than ever. AI is no replacement for an expert radiologist, but it is a highly trained, sensitive tool that can pick up subtle differences the human eye might miss.
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Computer-Aided Detection (CAD) software has been a fixture in digital imaging centers in the U.S. since the late 1990s. While it’s been widely implemented in the U.S., studies have shown that traditional CAD systems lack specificity and display numerous false flags that are distracting and rarely beneficial.
Artificial Intelligence (AI) has arrived in radiology and is quickly moving from the lab to clinical use. A recent survey shows that healthcare executives are not only embracing the use of artificial intelligence, they’re making budgetary plans to bring the technology into their organizations.