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.
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.
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.
A new 4D flow MRI method could accelerate diagnosis of aortic stenosis, a progressive and potentially fatal heart condition.
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.
Pupil dilation and involuntary facial movements could provide a window into diagnosing tinnitus. A new method uses AI to detect minuscule reactions to various sounds and noises.
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.
Pancreatic cysts (IPMNs) are seen as a precursor of pancreatic cancer. However, not all patients need to undergo surgery. A recent study may help patients with IPMNs to avoid unnecessary surgery.
Nuclear medicine (NM), one of the more mature technologies of diagnostic imaging, has been experiencing a rebirth in innovation and interest. The increasing prevalence of cancer,, an aging global population, and greater longevity, has created a robust demand for nuclear medicine. At ECR in Vienna, presenters explored market perspectives, but also safety and sustainability challenges.
While generative AI shows immense potential for healthcare, a critical reliability issue lurks beneath the surface: LLMs don't think like doctors do, a data science expert explained at the Emerging Technologies in Medicine (ETIM) congress in Essen. This potentially fatal flaw, however, may be fixable, he suggested.
Despite previous global declines, pulmonary tuberculosis (TB) is on the rise again. A new AI-powered lung ultrasound shows promise in improving diagnostic performance of TB.
A new study found that a significant proportion of Parkinson's disease diagnoses are later corrected. The results demonstrate the need for improved diagnostic processes.
