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Diagnostic radiology news

AI could help detect common cardiovascular diseases from mammograms

Artificial intelligence (AI) analysis of mammograms could be used to detect different common cardiovascular diseases (CVDs), according to a study presented at the ESC Congress 2026.

MRI may help predict progression in early-onset Alzheimer's disease

Mass General Brigham Neuroscience Institute researchers have found that a pattern of brain atrophy visible on MRI could help predict how quickly people with early-onset Alzheimer's disease progress from mild cognitive impairment ...

AI helps doctors measure scoliosis more consistently

Scoliosis is a condition characterized by an abnormal sideways curvature of the spine and most commonly develops during adolescence. Doctors typically assess its severity by measuring spinal curvature on X-ray images. This ...

Better measurement for better calcinosis cutis treatment

Calcinosis cutis is a condition that causes calcium deposits in a person's skin or soft tissues. These deposits can occur anywhere in the body and, depending on their location, can be disabling for patients. For example, ...

For the tiniest patients, new tech brings clearer MRI images

Some of medicine's smallest patients can present its biggest imaging challenges. An infant's heart can be as small as a walnut, beating rapidly inside a body that will change dramatically as the child grows. Yet much of the ...

Brain scans reveal tau buildup in late-onset psychosis

Hallucinations and delusions that appear for the first time in midlife or later are often treated as psychiatric symptoms whose biological cause is unclear. The study, published in Molecular Psychiatry suggests that, for ...

AI and simulations cut advanced brain MRI time by up to 90%

Two researchers at the Institute for Neurosciences (IN), a joint center of the Spanish National Research Council (CSIC) and the Miguel Hernández University of Elche (UMH), have developed a new strategy based on artificial ...

Q&A: Using advanced imaging to improve brain cancer treatment

Glioblastoma is one of the most treatment-resistant brain tumors, making it especially difficult to treat. Part of that resistance stems from its unique tumor microenvironment—the complex mix of cells and biological activity ...

MRI technique enhances valve disease evaluation

A new cardiac magnetic resonance imaging-based measurement may improve how physicians assess a common heart valve condition, according to a study led by Weill Cornell Medicine and NewYork-Presbyterian investigators. The findings ...

AI flags heart risks in breast cancer patients

UBC Okanagan researchers, working with scientists at BC Cancer–Kelowna, have developed a groundbreaking AI model that can help identify breast cancer patients who may face a double-threat—that of cancer and cardiovascular ...

Doctors urge caution regarding elective MRI in new editorial

According to leading radiologists, elective MRI screenings are not recommended and can do more harm than good. In a new editorial in JAMA, experts from the University of Michigan Health and the University of Wisconsin School ...

AI model analyzes body composition to predict health risks

Researchers used AI to analyze whole-body MRI scans from more than 66,000 participants to create the most detailed reference map to date of how fat and muscle are distributed in the human body across age, sex, and height. ...