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.

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.”
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.

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.

Autonomous AI reduces radiologists' breast cancer screening workload in real-world setting

Deployed in screening mammography, the tool identifies normal, low-risk exams and eliminates the need for double reads.

New real-world evidence supports the use of AI in lung cancer screening

Though the study of AI in lung cancer screening is not new, prior research has been retrospective in nature, making it challenging to determine the impact.

Google's mammography AI system slashes interpretation times by one-third

That's according to findings from the largest NHS study on the use of AI in breast cancer screening settings to date.