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Radiology & Imaging news

Radiology & Imaging

AI improves mammography cancer detection rates in large cohort study

An observational, multicenter, real-world study conducted at 12 screening sites in Germany has reported a 17.6% higher cancer detection rate among women aged 50–69 who received AI-supported double-reading mammography screenings ...

Sleep disorders

Optical imaging technique offers more precise diagnosis of sleep apnea

Obstructive sleep apnea (OSA) is a common sleep disorder characterized by intermittent airway blockages during sleep, leading to disrupted breathing. Despite advances in diagnostic tools, current methods for assessing the ...

Oncology & Cancer

Decrease seen in in situ breast cancer since 2009

The incidence of in situ breast cancer has decreased since 2009, consistent with decreasing use of mammography in association with the 2009 U.S. Preventive Services Task Force (USPSTF) guideline change, according to a study ...

Diseases, Conditions, Syndromes

Electronic sepsis screening reduces 90-day in-hospital mortality

Electronic sepsis screening among hospitalized ward patients reduces 90-day in-hospital mortality compared with no screening, according to a study published online Dec. 10 in the Journal of the American Medical Association ...

Oncology & Cancer

Mobile mammography boosts screening in underserved communities

A study by the Harvey L. Neiman Health Policy Institute demonstrates that mobile mammography is generally used by women otherwise unlikely to be screened, and thus is complementary to facility-based mammography rather than ...

Oncology & Cancer

Change in breast density over time linked to cancer risk

Many middle-aged and older women get mammograms every one to two years to screen for breast cancer, as recommended by their doctors. A study by researchers at Washington University School of Medicine in St. Louis indicates ...

Alzheimer's disease & dementia

Recurrent brain trauma may increase Alzheimer's risk

New research finds that the brains of otherwise healthy military personnel who are exposed to explosions show an abnormal brain accumulation of amyloid-beta protein—a protein that plays a role in the development of Alzheimer's ...

Oncology & Cancer

Fighting racial bias in next-gen breast cancer screening

Breast cancer is one of the most common and deadly types of cancer, and the best outcomes stem from early detection. But some screening techniques may be less effective for people with darker skin.

Immunology

Microbubble macrophages track tumors

Macrophages, a type of white blood cell, defend the body by engulfing and digesting foreign particles, such as bacteria, viruses, and dead cells. The immune cells also tend to accumulate in solid tumors, so tracking them ...

Cardiology

Target for imaging could improve detection of blood clots

A unique target for molecular imaging combined with the power of near-infrared fluorescent light to identify blood clots could provide a potential new approach for early and accurate diagnosis of blood clots.

Radiology & Imaging

Rapid onsite FFR-CT algorithm helps facilitate clinical adoption

According to a study published in American Journal of Roentgenology (AJR), a high-speed onsite deep-learning based fractional flow reserve (FFR)-CT algorithm yielded excellent diagnostic performance for the presence of hemodynamically ...

Radiology & Imaging

AI in medical imaging could magnify health inequities, study finds

Artificial intelligence (AI) technology in the medical field has the possibility to automate diagnoses, decrease physician workload, and even to bring specialized healthcare to people in rural areas or developing countries. ...

Oncology & Cancer

AI helpful in triaging breast masses in low-resource areas

Artificial intelligence (AI) can analyze breast mass images from low-cost portable ultrasound machines and accurately identify cancer, according to a study published in Radiology. This could prove useful for triage in low-resource ...

Radiology & Imaging

AI bias may impair radiologist accuracy on mammogram

Incorrect advice by an AI-based decision support system could seriously impair the performance of radiologists at every level of expertise when reading mammograms, according to a new study published in Radiology.