Mammography image interpretation AI models are unreliable – but so are human readers. A new hybrid strategy could reduce radiologist workload by 38% without compromising diagnostic efficacy.
AI tools for adenoma polyp detection are designed to help increase the accuracy of colonoscopies. However, a new study finds that using AI may lead to loss of detection skills in health professionals.
New research suggests that KFRE, a common prognostic tool to predict kidney failure, could underestimate the risk for individuals with chronic kidney disease (CKD) who also have frailty.
Denoising of diffusion-weighted MRI data creates sharper images – but does it actually lead to better diagnostic results? Researchers explored the impact of noise removal on detecting abnormalities.
Do laboratory tests using blood-based biomarkers (BBB) represent the next type of universally recommended screening tests for Alzheimer's disease (AD)? Experts curb the high expectations for this type of diagnostic tool.
Classifying prostate cancer as “low-grade” could create a false sense of security and delay definitive treatments. A new study shows that the biopsy grade alone can paint an incomplete picture.
Dense calcifications are common in breast tissue, but not every finding in a mammogram is a precursor of cancer. New insights could lead to fewer benign biopsies and guide therapeutic development.
Two dogs have been trained to distinguish between sebum swabs from people with and without Parkinson’s disease. This is especially relevant, as a definitive diagnostic test remains elusive.
More consistent TIL assessments, more accurate patients' prognoses: New research shows how AI sharpens pathologists' interpretation of tissue samples for malignant melanoma.
Covid-19 has intensified domestic violence rates worldwide, with children among the most vulnerable victims. At the ECR 2025 radiology congress in Vienna, Dr Rick R. Van Rijn presented compelling insights into how radiologists can identify non-accidental trauma (NAT) in children through systematic imaging approaches. From comprehensive skeletal surveys to specific neurological imaging protocols,…
A new PET imaging technique can accurately detect and monitor Mycobacteroides abscessus lung infections—one of the most difficult-to-diagnose conditions in patients with lung diseases.
Pulmonary embolism (PE) remains one of the leading causes of maternal mortality. At the French Thoracic Society Spring Days in May, Dr Aurélie Dehaene, radiologist at European Hospital in Marseille, France, reviewed diagnostic strategies for suspected PE during pregnancy, with a focus on clinical algorithms and optimized imaging protocols.
Patients with systemic lupus erythematosus (SLE or ‘lupus’) may wait for up to 40 years to receive the correct diagnosis. New research highlights the causes and devastating impact of these delays.
Digital pathology software company Fujifilm Healthcare Europe and Ibex Medical Analytics, specializing in AI-powered cancer diagnostics, announce a formal partnership to support efficient and accurate cancer diagnosis.
A quarter of deaths in the UK are caused by heart disease, the equivalent of one person every 3 seconds. New research suggests that effective diagnosis might literally be as easy as riding a bike.
A new ‘liquid biopsy’ test can help fast-track lung cancer patients to receive targeted therapy up to two weeks earlier, while helping avoid further tests and treatments including chemotherapy.
Childhood cancer diagnosis times span from immediate to delays of several years, according to a new study. Young bone tumor patients are among the most affected by these delays.
An Australian research team has developed a blood-based method of analysing thousands of proteins in a single, untargeted test. This potentially enables rapid diagnosis of many rare genetic diseases.
Nuclear medicine specialist Daniela Oprea-Lager has been appointed Professor of Theranostics at Radboudumc / Radboud University. Her research focuses on the combination of diagnostics and treatment using radioactive substances, with particular interest for urological tumors, especially prostate cancer.
