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.”

Example of the four types of breast tissue density. The density of fibroglandular tissue inside the breast impacts the ability to easily see cancers. Cancers are very easy to spot in fatty breasts, but are almost impossible to find in extremely dense breasts. These examples show craniocaudal mammogram findings characterized as almost entirely fatty (far left), scattered areas of fibroglandular density (second from left), heterogeneously dense (second from right), and extremely dense (far right). RSNA

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.

breast radiologist breast cancer mammography

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.

colorectal cancer colon CTC CRC colonoscopy

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.

breast cancer mammography screening mammogram scheduling

'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.”

Breast cancer AI ribbon pink artificial intelligence

New guidelines recommend AI-based breast cancer risk assessments

NCCN suggests that 5-year future breast cancer risk assessments based on routine mammograms should be integrated into standard practices.

Experts call for Lung-RADS updates amid concern about certain incidental findings

New findings from a large CT lung cancer screening dataset reveal that a substantial number of patients have significant incidental findings visible on their scans.

Breast cancer screening rates saw a 10% drop among several groups of women over the last 2 decades

Decreased screening rates among different subgroups highlight the ongoing need for outreach strategies that target vulnerable populations, experts contend.