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Radiology & Imaging news

Oncology & Cancer

30-year smoking duration-based criteria could increase lung cancer screening

Thirty-year smoking duration-based criteria could reduce eligibility gaps for all races relative to whites, while improving six-year lung cancer detection sensitivity, according to a study published online Dec. 16 in the ...

Oncology & Cancer

New Raman imaging system detects subtle tumor signals

Researchers have developed a new compact Raman imaging system that is sensitive enough to differentiate between tumor and normal tissue. The system offers a promising route to earlier cancer detection and to making molecular ...

Oncology & Cancer

WISDOM trial weighs risk-based cancer screening

University of California, San Francisco investigators led WISDOM, a randomized comparison of risk-based breast cancer screening and annual mammography. Rates of stage ≥IIB breast cancers met a noninferiority threshold under ...

Oncology & Cancer

New technology reduces false positives in breast ultrasounds

New ultrasound technology developed at Johns Hopkins can distinguish fluid from solid breast masses with near perfect accuracy, an advance that could save patients, especially those with dense breast tissue, from unnecessary ...

Radiology & Imaging

AI can detect early signs of aging from chest X-rays

Artificial intelligence may be able to reveal how fast your body is aging by analyzing a chest X-ray, according to a new study published in The Journals of Gerontology, Series A: Biological Sciences and Medical Sciences. ...

Diseases, Conditions, Syndromes

Neutron scattering sheds light on lung injuries linked to vaping

Researchers from the University of Windsor are using neutrons at the Department of Energy's Oak Ridge National Laboratory to better understand symptoms associated with e-cigarette/vaping-associated lung injury (EVALI).

Neuroscience

Unified EEG imaging improves mapping for epilepsy surgery

A new advance from Carnegie Mellon University researchers could reshape how clinicians identify the brain regions responsible for drug-resistant epilepsy. Surgery can be a life-changing option for millions of epilepsy patients ...

Surgery

Doctors can now watch spinal cord activity during surgery

With technology developed at UC Riverside, scientists can, for the first time, make high resolution images of the human spinal cord during surgery. The advancement could help bring real relief to millions suffering chronic ...

Radiology & Imaging

New AI model draws maps to diagnose disease

Medical diagnostics expert, doctor's assistant, and cartographer are all fair titles for an artificial intelligence model developed by researchers at the Beckman Institute for Advanced Science and Technology.

Radiology & Imaging

Virtual staining of unlabeled autopsy tissue using AI

Autopsy has a central role in shedding light on diseases, helping to uncover the cause of death. Tissue samples from various organs are sampled, stained, and examined under a light microscope to evaluate their histological ...

Oncology & Cancer

'Virtual biopsy' uses AI to help doctors assess lung cancer

Imperial researchers have used artificial intelligence (AI) to extract information about the chemical makeup of lung tumors from medical scans. For the first time, they have demonstrated how combining medical imaging with ...

Radiology & Imaging

Team develops accurate and inexpensive approach for optical biopsy

Detecting cancer during its early stages, that is, before it spreads to other parts of the body, almost always leads to better treatment outcomes and lower mortality rates. However, for people without good access to health ...

Cardiology

A new method for cardiac image segmentation

Researchers from the University of Science and Technology Beijing have proposed a new method for cardiac image segmentation. The work, published in Journal of Shanghai Jiao Tong University, showcased a model called UConvTrans, ...