Women with high-risk breast lesions (HRLs) and no family history of breast cancer or BRCA mutations are generally considered to be at moderate risk of developing breast cancer. Breast cancer screening guidelines suggest breast MRI be considered as a supplement to mammography. But is this expensive exam necessary?
Renal cell carcinoma is among the fifteen most common cancers worldwide. Dr Titus Brinker, from the German Cancer Research Center (DKFZ), looked at whether a convolutional neural network (CNN) can extract relevant image features from a typical H&E-stained slide to predict 5-year overall survival.
San Paolo Hospital in Savona, Italy, has upgraded its Corelab-related analytical equipment. In collaboration with Beckman Coulter, the San Paolo diagnostic laboratory has installed Beckman Coulter’s DxA 5000 Laboratory Automation System, an innovative, high-throughput automation system that rapidly increases test processing.
Blood pressure is one of the most basic parameters in any healthcare status assessment and holds considerable diagnostic significance. However, clinicians should never underestimate the complexity behind the assessment, cautions Dr Rhian M. Touyz.
A new device for diagnosing bone fragility invented by the University Hospitals of Geneva (HUG) and the University of Geneva (UNIGE) has been approved for marketing in the European Economic Area and Switzerland. The device is based on a new approach to assessing bone quality via blood sampling.
A new cloud-based ultrasound image sharing and reporting software will utilize image data to convey fetal growth projections and provide a platform for physician-to-physician and physician-to-patient communication.
Ethical considerations continue to fuel the discussion around artificial intelligence (AI), a panel of experts showed at ECR 2022.
New method for the detection of alcohols combines zero- to ultralow-field nuclear magnetic resonance with the SABRE-Relay hyperpolarization technique.
Using left ventricular pressure-strain loops as a non-invasive way to assess myocardial work has benefits for cardiologists in terms of diagnosis and prognostic stratification for a wide range of heart conditions.
The language used by doctors when diagnosing female patients with polycystic ovary syndrome (PCOS) can negatively impact their wellbeing and how they view their condition, new research finds.
The prototype device combines eRapid and SHERLOCK technologies into a single, postcard-sized system that can simultaneously detect the presence of both SARS-CoV-2 RNA and antibodies in a patient’s saliva.
Researchers developed an AI that accurately and quickly diagnoses idiopathic pulmonary fibrosis, based only on information from lung images and medical information collected during daily medical care.
As knowledge about Covid-19 advances, so does the arsenal of techniques to predict, diagnose and follow up on the disease. At this year’s ECR, researchers presented a range of promising imaging modalities to keep track of Covid-19 symptoms, severity, and mortality, often including AI support to enhance or accelerate diagnostics.
Researchers have developed a new Covid-19 test distribution method that uses drones to quickly deliver at-home diagnostic tests to individuals who suspect they have Covid-19.
Muscle strength is a powerful predictor of mortality that can quickly and inexpensively be assessed by measuring handgrip strength, researchers show in a new study.
Skin swabs are "surprisingly effective" at identifying Covid-19 infection, according to new research, offering a route to a non-invasive future for Covid-19 testing.
The Covid-19 pandemic has highlighted the importance of the fast and accurate diagnosis of infectious diseases in clinical settings. Harald Maier discusses the implementation of rapid molecular diagnostics in the central clinical diagnostics laboratory at Innklinikum Altötting and Mühldorf, highlighting how the use of PCR testing has benefitted the hospital during the Covid-19 pandemic.
Building artificial intelligence (AI) tools that clinicians and patients can trust, and easily use and understand, are core to the technology being successfully deployed in healthcare settings.
Using deep learning, researchers created AI-driven computer models to analyze corneal and retinal images to help eye doctors in the future.
