Breakthrough AI foundation model called BrainIAC is able to predict brain age, dementia, time-to-stroke, and brain cancer ...

ED dizziness visits see rising MRI use at discharge; exam-guided imaging helps detect missed strokes and informs secondary ...

Medical researchers at Mass General Brigham say the self-supervised foundational model can identify inherent features from ...

Somerville, Mass.-based Mass General Brigham has developed a new AI foundation model that can extract disease risk signals from routine brain MRIs. The model was trained on nearly 49,000 brain MRI ...

A new study suggests that applying a deep learning algorithm to routine abdominal CT scans could help identify fall risk ...

Why are MRI machines so noisy, and what stops us making them quieter?

More scans, faster treatment, better survival: the NHS cancer plan is ambitious. Can the system rise to meet it?

Loss of functional kidney tissue after nephrectomy for kidney cancer contributes to the onset of chronic kidney disease (CKD).

Doctors may soon be able to tell just how sick a heart failure patient really is by using a routine MRI scan, thanks to new ...

Palpitations, tremor, anxiety, frequent bowel movements and heat intolerance are all classical symptoms of excess thyroid ...

Scientists hope their findings will potentially spare tens of thousands of future heart patients from undergoing a procedure.

By prioritising gentler, patient-focused approaches, the field of paediatric MRI has seen significant advances, while its use ...