
News • Predicting obstetric complications
New method to reduce risk of severe birth injury
A new method for predicting the risks of severe injuries during childbirth could improve care and reduce long-term complications for women.

A new method for predicting the risks of severe injuries during childbirth could improve care and reduce long-term complications for women.

Experts from the University of Nottingham have proven that multiple sclerosis can successfully be diagnosed using an MRI scan, meaning patients no longer need to undergo a painful lumbar puncture.

When it comes to breast cancer, ethnic differences matter, putting some women at a significantly higher risk, a new study finds. Genetic ancestry should therefore be considered as a risk factor.

A University of Liverpool study has used advanced genetic and genomic techniques to offer a major step forward in understanding and diagnosing infectious intestinal diseases.

Diagnosing breast cancer in women with extremely dense breasts often comes down to MRI, but the scans take long and are expensive. Research confirms that shorter protocols also yield accurate results.

Movement disorders often show overlapping symptoms, making it difficult for doctors to make the correct diagnosis. A new AI tool could help distinguish between different disorders, such as tremor and myoclonus.

Does having blood type A increase the risk of breast cancer? A new systematic review and meta-analysis involving more than 13,000 breast cancer patients suggests a connection.

Reading an LLM-generated recap to get the gist of a scientific publication? Not a good idea, a new study finds: Most leading chatbots exaggerate the findings – prompting for more accuracy even makes things worse.

Using radiomics on mammograms of over 30,000 women, researchers have identified six breast texture patterns that may be associated with increased cancer risk.

People at risk of cardiovascular disease could be identified a decade before they have a heart attack or stroke, a new University of Dundee study has discovered.

A new 4D flow MRI method could accelerate diagnosis of aortic stenosis, a progressive and potentially fatal heart condition.

A novel deep-learning approach automatically finds and classifies microcalcifications found in mammography images—bringing both accuracy and consistency to breast-cancer screening.

The rise of pathogenic fungi is a real concern and is being driven by climate change. A new study predicts significant spread of certain fungal pathogens in Europe fuelled by rising temperatures.

Results of a new retrospective study demonstrate the potential of a novel, CT-based deep learning-driven tool to enhance liver cancer diagnosis, treatment planning, and response evaluation.

In the years following Brexit, many EU nurses have left the UK, and the quality of care suffered for it. Now, a new study puts a number of additional patient deaths as a result of the referendum.

Researchers from Université Laval discovered that the retina of people with Parkinson's disease responds differently to light than that of healthy people. This offers new diagnostic options.

Healthcare-associated infections (HAI) are a threat to residents of long-term care facilities in Europe. A new study points to serious gaps in infection prevention and control measures.

A new biomarker for multiple sclerosis: the inflammatory cell rim from microglial cells surrounding brain lesions was found to directly correlate with the severity and speed of disease progression.

Multiple sclerosis often transitions from a relapsing-remitting to secondary progressive form, which requires different treatment. Now, an AI model can determine this change with 90% certainty.

Using AI and extensive analyses of gene activity in tumours, researchers have found new, precise biomarkers to diagnose prostate cancer at an early stage through a simple urine sample.

During the Covid-19 pandemic, everyone became familiar with lateral flow tests. These tests generate a lot of plastic waste, creating an environmental crisis. Experts call for urgent action.

Dutch researchers have developed an AI tool to support Mohs surgery, a precise but time-consuming procedure to treat the most common form of cancer in the Netherlands: basal cell carcinoma.

Radiation therapy is an effective component of many cancer treatments, but some patients experience severe side effects. A new study shows that hyperbaric oxygen therapy can provide long-term relief.

GPs may soon be able to identify patients with an increased risk of lung cancer up to 4 months earlier with an algorithm created by researchers based on the data of more than half a million patients.

Despite their improving diagnostic accuracy, medical AI systems are often met with skepticism by radiologists. Their patients, however, seem more inclined to embrace this technology, a study shows.