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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 ...

Smart MRI molecules developed to detect and treat cancer

Researchers at NYU Abu Dhabi have developed smart molecules that can both detect and treat cancer, offering a safer and more precise approach to care. The research, published in the Journal of the American Chemical Society, ...

A new AI model could help doctors detect lung cancer earlier

Lung cancer remains the leading cause of cancer-related deaths worldwide, accounting for nearly one in five cancer deaths—around 1.8 million lives lost each year. One of the main reasons is late diagnosis: in its early stages, ...

A new biomarker helps assess the aggressiveness of glioblastoma

Researchers from the Biomedical Data Science Laboratory (BDSLab) at the ITACA Institute of the Universitat Politècnica de València have developed a new method based on magnetic resonance imaging that enables objective quantification ...

New MRI system could aid early detection of heart failure

The heart's ability to use oxygen efficiently is a critical indicator of its health, but tests to measure this function have drawbacks that can limit their use. A new Cedars-Sinai Health Sciences University study found that ...

AI model reads cardiac MRI scans with near expert accuracy

A Penn Medicine–led team has developed a first-of-its-kind artificial intelligence system that interprets cardiac MRI scans with performance approaching expert clinicians. Trained on more than 300,000 MRI video clips from ...

Deepfake X-rays fool radiologists and AI

Neither radiologists nor multimodal large language models (LLMs) are able to easily distinguish artificial intelligence (AI)-generated "deepfake" X-ray images from authentic ones, according to a study published in Radiology. ...

Novel X-ray technique could transform tissue diagnosis

A new X-ray imaging technique could transform how hospitals analyze tissue samples, potentially speeding up diagnoses and improving outcomes for patients, shows a new study led by UCL researchers. The technology, developed ...

Using AI to improve standard-of-care cardiac imaging

Heart disease is the leading cause of adult death worldwide, making cardiovascular disease diagnosis and management a global health priority. An echocardiogram, or cardiac ultrasound, is one of the most commonly used imaging ...