Artificial intelligence is enabling radiologists to extract valuable diagnostic information from routine chest imaging – identifying patients at risk for osteoporosis and cardiovascular disease without additional scans. At RSNA 2025, researchers presented two AI-powered tools that transform standard chest X-rays and CT scans into opportunistic screening devices.
Heart disease risk has been found to increase in women with polycystic ovary syndrome (PCOS), even in those with normal weight, according to new research.
New models help identify cardiovascular disease risk even before symptoms appear. The researcher's findings also indicate that the risk of heart failure is not evenly distributed across Europe.
By combining two specific markers from a standard cardiac CT scan, researchers were able to identify patients at the highest risk for future heart failure and death.
Researchers have now investigated whether a person’s genetic predisposition to different diabetes subgroups can help assess the risk of developing coronary artery disease.
Breast cancer screening could also be used to screen for cardiovascular disease, new research suggests: The risk of serious or fatal heart disease can be predicted with AI analysis of mammograms.
Diabetes and kidney disease are among the biggest — and most overlooked — drivers of heart disease. A new survey shows many people don't even know the connection exists.
Type 2 diabetes and high blood pressure share a genetic link, new research from the UK and France shows. People with one condition are more likely to develop the other.
An AI-assisted stethoscope could help doctors identify patients with valvular heart disease who may otherwise go undiagnosed. This could reduce hospital admissions and overall healthcare costs.
Pioneering research has shown that heart muscle cells regrow after a heart attack, opening up the possibility of new regenerative treatments for cardiovascular disease.
TV depictions of out-of-hospital cardiac arrest may mislead viewers about who is most likely to need cardiopulmonary resuscitation (CPR) and where it’s needed, new research reveals.
Cardiovascular disease and depression do not co-occur by chance; the TO_AITION project aims to enable earlier diagnosis of comorbidity, better risk prediction and personalised treatment strategies.
Can CT-derived fractional flow reserve (FFR-CT) be used in patients with angina to predict future major cardiovascular events? A novel AI-based approach for CCTA analysis yields promising results.
Despite significant advances in the treatment of atrial fibrillation, a new Danish study shows that social inequities in survival have remained virtually unchanged over the past 20 years.
People with diabetes face a higher risk of sudden cardiac death, a new study finds. Alarmingly, the increase in risk is especially noticeable among younger adults.
A patient reports with chest pain, but in the coronary angiogram, the main heart arteries look clear, so it cannot be angina – right? A new study reveals that this approach can easily lead to misdiagnosis.
After a bout of influenza or Covid, the risk of heart attack or stroke may rise dramatically, and chronic infections may increase the long-term risk of serious cardiovascular disease events.
The bigger the baby, the bigger the risk: A new study shows that the birthweight of a preterm infant is linked to its mother's risk of getting cardiovascular disease later in life.
New cardiac imaging techniques continue to uncover the secrets of the heart for cardiologists who know how to use them. At the ESC 2025 Congress in Madrid, four experts explored cutting-edge developments across different modalities. These novel approaches provide a promising glimpse of what the next generation of cardiac imaging is capable of.
