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.

Experts create AI system that can accurately diagnose osteoporosis using routine X-rays
Experts are optimistic their tool could help providers identify patients who may be at risk of developing osteoporosis sooner.
AI enables tracking of coronary artery calcium growth on routine lung cancer CT scans
New data suggest increases in CAC scores between lung cancer screenings strongly correlates with the risk of adverse cardiovascular events.
Generative AI model shows potential for reading chest X-rays used for TB screenings
Generative artificial intelligence models have shown great potential for improving multiple aspects of the radiology field, but a new analysis cautions that they still require significant oversight.
AMA resolution backs expanded low-dose CT screenings for lung cancer, heart risk
Dana Smetherman, MD, CEO of the American College of Radiology, discusses the policy, which urges for more robust promotion of low-dose CT as a public health tool.
Symptom-detected breast cancers more likely to require mastectomy, chemotherapy
New research adds to the “strong evidence” supporting screening guidelines and highlights the importance of women adhering to clinical recommendations.

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.

Abbreviated MRI protocols present suitable alternatives for liver cancer screening

Ultrasound is routinely used to screen for HCC. However, its utility is limited by numerous factors, including patient body habitus, operator experience and certain liver conditions, all of which contribute to decreases in sensitivity.

Routine abdominal CTs offer insight into cardiovascular risk

During this year's RSNA meeting, providers were especially interested in how AI applications could enhance opportunistic screening capabilities.

Screening efforts have helped avert millions of cancer-related deaths in recent decades

In conjunction with prevention efforts, the introduction of screening examinations has resulted in a reduction of nearly 6 million cancer-related deaths since 1975.

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

What breast density status can tell us about cardiovascular risk

Breast density is most often discussed within the context of cancer risk, but new research suggests that it also could be used as a marker of cardiometabolic health.

HeartLung Technologies, a Houston-based artificial intelligence (AI) company, has received 510(k) clearance from the U.S. Food and Drug Administration (FDA) for new software that assesses chest CT scans for signs of coronary artery disease (CAD) and other potentially fatal heart conditions. The newly cleared offering, AutoChamber, was designed with opportunistic heart evaluations in mind.

FDA clears AI tool that flags signs of heart disease in chest CT scans

The newly cleared offering, AutoChamber, was designed with opportunistic screening in mind. It can evaluate many different kinds of CT images, including those originally gathered to screen patients for lung cancer.

Patients without PCPs struggle to access lung cancer screening, despite eligibility

It is estimated that up to one-third of the U.S. population does not have a primary care provider.

Screening

Experts create AI system that can accurately diagnose osteoporosis using routine X-rays

AI enables tracking of coronary artery calcium growth on routine lung cancer CT scans

Generative AI model shows potential for reading chest X-rays used for TB screenings

AMA resolution backs expanded low-dose CT screenings for lung cancer, heart risk

Symptom-detected breast cancers more likely to require mastectomy, chemotherapy