Medical Imaging

Physicians utilize medical imaging to see inside the body to diagnose and treat patients. This includes computed tomography (CT), magnetic resonance imaging (MRI), X-ray, ultrasound, fluoroscopy, angiography, and the nuclear imaging modalities of PET and SPECT.

New iron-based imaging agent significantly improves brain tumor visualization
Ferumoxytol is used primarily in medications that treat anemia, but the FDA recently cleared it for deployment in brain imaging as well.
AI reduces readers' kidney lesion interpretation times by over 30%
The tool also can be used on contrasted abdominal scans completed for other clinical indications, addressing suspicious lesions before they worsen.
Nvidia sees major shift in radiology to AI agents and new autonomous imaging systems
“Physical AI agents being able to actually deliver some of these services—all the way into robotic surgery—this is where we're going to see this next chapter of medicine be written,” said Kimberly Powell, vice president and general manager of healthcare at Nvidia.
Scoring system outperforms standard radiology reports for predicting soft tissue tumor malignancy
The Soft-Tissue Tumor Reporting and Data System (ST-RADS) is an MRI framework that was designed to assess the risk of soft tissue tumors and help providers in managing the finding.
Mindfulness improves brain connectivity, MRI data show
Mindfulness-based stress reduction techniques combine meditation, bodily awareness exercises and yoga to temper stress and anxiety.

Many can’t understand online breast density information—will that hurt notification legislation?

None of the information on the top breast density websites was written at recommended reading levels, and it may limit the educational goals of new federal breast density legislation.

AI won’t replace radiologists, but it should make them better physicians

AI is almost certain to have a monumental impact on radiology, but what, exactly, will that mean for radiologists?

AI helps bolster radiologists’ ability to detect ADHD using MRI

This breakthrough could help providers pinpoint other neurological conditions, experts noted in a study published Wednesday, Dec. 11, in Radiology: Artificial Intelligence.

ASTRO releases new radiation therapy guidelines to treat skin cancers

More than 5 million people are diagnosed with skin cancer in the U.S. each year, and an overwhelming majority are categorized as either basal or cutaneous squamous cell carcinoma.

AI detects signs of emphysema in CT findings

AI can automatically assess if patients show signs of emphysema, according to a new study published in Radiology.

New AI-powered imaging technique IDs colorectal cancer with 100% accuracy

A new imaging technique that uses deep learning technology can identify tumors in colorectal tissue samples with 100% accuracy, according to findings published in Theranostics.

AI vendors discuss the biggest mistakes being made in healthcare today

More healthcare providers are starting to investigate how AI can improve patient care, but many of them hurt their own chances of success by making costly mistakes. We spoke with numerous AI vendors about some of the most common mistakes they see being made today.

AI models interpret chest x-rays using radiologist input

AI models can be trained to evaluate chest x-rays as well as radiologists, according to a new study published by Radiology. Specialist-approved reference standards played a crucial role in the team’s research.

Medical Imaging

New iron-based imaging agent significantly improves brain tumor visualization

AI reduces readers' kidney lesion interpretation times by over 30%

Nvidia sees major shift in radiology to AI agents and new autonomous imaging systems

Scoring system outperforms standard radiology reports for predicting soft tissue tumor malignancy

Mindfulness improves brain connectivity, MRI data show