Here's what to expect this week on Diagnostic Imaging.
In this week’s preview, here are some highlights of what you can expect to see coming soon:
Peer review has been widely used as a tactic for identifying diagnostic errors and opportunities for improvement. However, it has fallen short of its goal of helping radiologists learn from mistakes. Consequently, the specialty is shifting toward peer learning – a strategy that allows for anonymous critique of diagnostic oversights and gives providers guidance to avoid future errors. This week, look for an interview with Regan City from RadPartners about how facilities and institutions can implement their own peer learning models.
For additional articles on RadPartners, click here.
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Medical breakthroughs, including those with imaging technologies, are critical to bringing patients the most cutting-edge treatments possible, particularly those who live with debilitating and unmet health needs. Earlier this year, the Centers for Medicare & Medicaid Services (CMS) finalized the Medicare Coverage of Innovative Technology program, an initiative designed to close the gap between the Food & Drug Administration approval process and CMS’s approval of insurance coverage. Full implementation of the program has been delayed, however. Later this week, look for a column from Jessica Foley, Ph.D., chief science officer from the Focused Ultrasound Foundation and Patrick Hope, executive director of MITA, calling for and explaining the need for swift program implementation.
For additional thought leadership on the importance of medical innovation, click here.
Breast imaging services – mammography and digital breast tomosynthesis – are effective in detecting breast cancers, leading women to get the services they need for treatment. However, access to these studies is not even across all patient populations. Ensuring that all women have equal access requires a well designed strategy. Look for a column later this week from Christine Murray, women’s health product manager from Fujifilm Medical Systems U.S.A., Inc., about the multi-pronged approach that help increase access for all women to these life-saving services.
For other articles on breast imaging, click here.
Emerging AI Mammography Model May Enhance Clarity for Initial BI-RADS 3 and 4 Classifications
May 21st 2025In a study involving over 12,000 Asian women, researchers found that an artificial intelligence (AI) model converted over 83 percent of false positives in patients with initial BI-RADS 3 and 4 assessments into benign BI-RADS categories.
Can Emerging AI Software Offer Detection of CAD on CCTA on Par with Radiologists?
May 14th 2025In a study involving over 1,000 patients who had coronary computed tomography angiography (CCTA) exams, AI software demonstrated a 90 percent AUC for assessments of cases > CAD-RADS 3 and 4A and had a 98 percent NPV for obstructive coronary artery disease.