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 helps discern patients' need for supplemental breast imaging
New findings support the routine use of deep learning-based risk assessments, as this method can decrease subjectivity, reduce unnecessary imaging and improve diagnostic accuracy.
Financial, logistical reasons to blame for most missed cancer screenings
It may be more than anxiety and forgetfulness to blame for women missing their scheduled mammograms, according to new survey data.
Nearly half of women surveyed still think breast cancer screening starts at 50
The responses also suggested that a significant amount of women believe mammograms start before 40, highlighting a gap in screening policy knowledge.
Opportunistic AI detects colorectal cancer using routine, noncontrast CT
The COlorectal Cancer detection with AI, or COCA, model is a cost-effective, scalable solution that turns routine CT scans into opportunistic exams that can be used to proactively identify CRC.
'Defer to breast cancer diagnosis and treatment experts': Imaging leaders rail against new ACP breast cancer screening recs
Two respected radiology organizations have issued a stark warning on the new recommendations, stating that they risk confusing patients and “may contribute to thousands of additional breast cancer deaths each year.”

Incidental findings evident in 70% of lung screening exams, but few reported

Despite this, consensus is lacking on whether radiologists should be required to report on findings that are not relevant to the exam.

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.

Screening

AI model helps discern patients' need for supplemental breast imaging

Financial, logistical reasons to blame for most missed cancer screenings

Nearly half of women surveyed still think breast cancer screening starts at 50

Opportunistic AI detects colorectal cancer using routine, noncontrast CT

'Defer to breast cancer diagnosis and treatment experts': Imaging leaders rail against new ACP breast cancer screening recs