Whether a patient has a pulmonary embolism, a higher-than-normal D-dimer value can help identify patients for whom CTPA is most appropriate, alleviating some workload from emergency radiology.

Hologic’s Jennifer Meade, division president of breast and skeletal care, discusses the focus for breast imaging in the near future and some latest technologies.

Using deep learning analysis with abdominal CT scans provides a more accurate body composition measurement that can predict which patients will suffer major cardiovascular events within five years.

Conducting screening mammography on men with a genetic risk for breast cancer can increase early detection, but clinical guidance and recommendations remain inconsistent.

Using high-resolution micro-CT with bones exposed to fire could help forensic investigators determine the timing of murders.

The mechanisms, magnitude, manifestations, and management of stroke during the pandemic.

Anastasia Hryhorczuk, M.D., assistant clinical professor of radiology at Michigan Medicine, discusses, during RSNA 2020, the challenges that face radiology with sexual harassment and some strategies to eliminate it.

Bright years are ahead for the industry, according to industry expert Bhavya Rehani, M.D., if focus is given to selfless service, education, technology and innovation, and engaging the global community.

Advanced imaging can help pinpoint the location and cause of lingering nerve damage in patients who have recovered from the virus.

Capturing the scan can reduce number of repeat surgeries and pinpoint additional cancers.

Implementing artificial intelligence tools with breast imaging can pinpoint overlooked interval cancers and decrease provider workload in screening mammography programs.

MRI shows injections can both accelerate healing time and improve range of motion.

What’s critical, and what radiologists can do.

Radiologists have the opportunity to identify women suffering intimate partner violence by detecting a specific type of forearm fracture.

When support staff step in to control communications and keep the workday running smoothly.

Applying a deep-learning model to a photograph of a chest X-ray can help providers in resource-poor areas diagnose the disease.

A model that uses biomarkers pulled from a woman’s mammogram does produce a more accurate breast cancer risk assessment.

By incorporating non-imaging data, the algorithm can effectively pinpoint which patients will need ICU intervention.

fMRI scans show that babies’ brain activity can be influenced through associative learning, presenting a potential strategy for promoting the development of life-long skills in infants who have injured brains.

Optically pumped magnetometer sensor detects magnetic signals that could augment the detection of traumatic brain injury and disease.