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.

Radiologists call for government action amid glaring deficiencies across UK emergency imaging

Underfunding and a lack of resources have led to significant problems imaging severely injured patients in trauma centers across the UK's health system. The Royal College of Radiologists has called on the government to address the issues.

AI algorithm can spot LVEF from 15 seconds of ECG data

An AI algorithm that reportedly helps physicians identify reduced left ventricular ejection fraction (LVEF) received Breakthrough Device designation from the FDA on Dec. 18.

AI algorithm optimizes CCTA image quality

Deep learning can improve the quality of coronary CT angiography (CCTA) images, according to a new study published in Academic Radiology.

‘One stop’ CT perfusion requires less contrast, radiation dose than CCTA

The new approach offers more comprehensive information with no loss of image quality, and may alter the care landscape for patients with coronary artery disease.

Prediction time: How will AI impact radiology in another 10-15 years?

AI continues to evolve at a rapid pace, with new algorithms and solutions being developed all the time. What kind of long-term impact could these technologies have on patient care?

PET/CT roots out early lung cancer subtypes, may help personalize treatment

Combining fluorodeoxyglucose PET with high-resolution CT can help predict subtypes of early lung adenocarcinoma—a form of cancer that is on the rise.

AI predicts breast cancer risk better than current techniques

AI can identify women at a high risk of developing breast cancer more accurately than existing prediction models, according to a new study published in Radiology.

Molecular imaging approach advances personalized cancer therapy treatment

With this research, clinicians may further their understanding of which drugs will be most effective for cancer therapy plans.

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