Screening

Diagnostic screening programs help catch cancer, abnormalities or other diseases before they reach an advanced stage, saving lives and healthcare costs. Screening programs include, lung, breast, prostate, and cervical cancer, among many others.

Interval breast cancer rates on the rise.

Rising rates of interval breast cancers have experts calling for more risk-based screenings

A new analysis suggests interval cancer rates among women with a prior history of breast cancer may be as high as 30%.

Rates of breast cancer diagnosis, death expected to climb in coming decades

By 2050, new cases could rise by up to 38%, while deaths may see a steeper climb, potentially increasing 68%, according to new research from WHO. 

Breast arterial calcifications (BACs) identified on screening mammograms may help identify women who face a heightened risk of developing cardiovascular disease (CVD), according to a new analysis published in Clinical Imaging.

AI quantifies breast arterial calcifications on mammograms

There are no standards requiring radiologists to report on the presence of BACs, even though up to half of referring providers have indicated they would prefer to be made aware of the finding. 

Breast arterial calcifications (BACs) identified on screening mammograms may help identify women who face a heightened risk of developing cardiovascular disease (CVD), according to a new analysis published in Clinical Imaging.

Opportunistic screening: AI highlights key heart findings in mammography images

Breast artery calcifications are already visible when radiologists review mammograms, but nothing typically happens with them. Researchers aimed to see if AI could help translate those findings into an easy-to-understand cardiovascular risk score.

AI not currently safe to use as a standalone reader in breast cancer screenings.

AI 'not safe' to be implemented as a solo reader for breast cancer screening exams

Despite the great progress that has been made toward the clinical implementation of AI, new data caution against trusting the technology as a single reader in certain settings.

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American College of Radiology announces significant expansion of Lung Cancer Screening Registry

The ACR hopes these changes, including the addition of diagnostic performance feedback, will help reduce the number of patients with incidental nodules lost to follow-up each year.

AI beats standard regression models at predicting lung cancer risk

Not all AI or regression models are the same, nor do they all incorporate the same data when assessing patient risk.

AI reduces CT lung cancer screening workload by nearly 80%

And it can do so with almost 100% accuracy as a first reader, according to a new large-scale analysis.