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.

AI model turns POCUS images into accurate structural heart evaluations
Researchers see potential for this technology to make cardiac screening much easier for physicians who are not trained cardiologists.
Microsoft and Bristol Myers Squibb partner to advance AI-enabled lung cancer detection
Lung cancer remains the leading cause of cancer-related deaths in the United States. It is estimated that it claims approximately 125,000 lives in the U.S. every year.
FDA clears opportunistic AI for detecting cardiothoracic issues in CT scans
“Coronary calcium revealed long ago that atherosclerosis begins well before symptoms. AI-CVD extends that insight by enabling systematic identification of patients who are unaware of their cardiovascular risk using CT scans that already exist,” said Arthur Agatston, MD.
CT colonography the most cost-effective cancer screening option for many
Findings from the Neiman Health Policy Institute and Northwell Health indicate that CTC is especially beneficial for underserved populations.
Beyond just nodules—model uses all low-dose CT data to make long-term lung cancer risk predictions
New findings published in RSNA's Radiology highlight the shortcomings of using nodule characteristics and patient history alone to predict an individual’s true cancer risk.

How tax policies impact cancer mortality rates

According to a new analysis, the relationship between the two is actually quite significant.

New data question the role radiation therapy plays in cardiovascular health

There has been back-and-forth among experts on the relationship between breast arterial calcifications and cardiovascular disease for many years.

AI is most beneficial as a prescreening tool, new research suggests

Researchers deployed AI in multiple interpretation scenarios to assess how it might impact radiologists’ performances.

Opportunistic screening tool for osteoporosis nabs FDA clearance

The algorithm can be applied to noncontrast abdominal CT scans completed for any clinical indication.

doctor wrong patient wrong-site surgery medical error malpractice mistake

Not all radiologists are buying what AI is selling, even when the technology outperforms humans

Providers are up to three times more likely to trust the opinion of humans over AI, even when the algorithm is proven to detect more cancerous lesions than radiologists.

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.

Screening

AI model turns POCUS images into accurate structural heart evaluations

Microsoft and Bristol Myers Squibb partner to advance AI-enabled lung cancer detection

FDA clears opportunistic AI for detecting cardiothoracic issues in CT scans

CT colonography the most cost-effective cancer screening option for many

Beyond just nodules—model uses all low-dose CT data to make long-term lung cancer risk predictions