Radiology, sonography and beyond: Keep reading to find out how imaging techniques like MRI, CT and ultrasound can be used in the diagnosis of diseases and the guidance of medical procedures.
A team of researchers and scientists from the University of California, San Diego (UCSD) have developed a stick-on ultrasound patch, the first fully integrated wearable system for evaluating cardiovascular function while people walk, run, or even ride a bicycle. This Ultrasonic system-on-patch (USoP) is the result of several years of research conducted by nanoengineering department engineers.
In a new study, researchers use a very large dataset to identify predictive brain imaging-based biomarkers of mental illness in adolescents.
A multinational study confirms a strong and clear association between exposure to radiation from CT scans in young people and an increased risk of blood cancers.
Giving children a virtual/augmented (mixed) reality playkit to use ahead of an MRI scan seems to ease both their and their parents’ anxieties about this procedure, a new study suggests.
Diagnosing early-stage lung cancer with low-dose CT screening dramatically improves the long-term survival rate of cancer patients, a large-scale, 20-year international study shows.
Mammography screening is vital in breast cancer prevention, but about 3% of women receive a false-positive result. This not only causes worry, but also increases risk of developing breast cancer.
Because time is brain: To explore the potential for accelerated stroke diagnostics, US researchers equipped an ambulance with a portable MRI – with promising first results.
Advances in positron computed tomography (PET) could lead to a more refined approach to the precise removal of brain tumors is on the horizon, experts from Poland point out.
High-BMI patients are a challenge for abdominal sonography. In a new study, researchers point out the benefits of special high-performance probes and their impact on image quality.
A new AI method for CT brain imaging may bring the modality to the level of detail usually reserved for MRI scans. This could enhance diagnostic support for conditions such as Alzheimer's disease.
A new artificial intelligence (AI) model combines imaging information with clinical patient data to improve diagnostic performance on chest X-rays, a new study finds.
A new imaging agent can predict early metabolic response to HER2-targeted treatment in metastatic breast cancer patients, according to new research published in the Journal of Nuclear Medicine.
At the EUSOBI congress in Valencia, Hologic showcases its women's health portfolio, announces global partnerships for breast health - and even brings a sweet treat for the congressgoers.
A new mammography system was introduced at the EUSOBI 2023 congress by Siemens Healthineers. The system, which uses wide-angle tomosynthesis, was presented as "groundbeaking" by the company.
Reports of AI gaining the upper hand in diagnostic imaging interpretation are piling up, but there are still areas where the eye of a trained human radiologist remains superior.
Researchers from the University of Tsukuba have improved the imaging resolution of the magnetic resonance microscope, to obtain high-resolution images of embryos.
Radiologists called for action to reduce the release of contrast media in the hospital’s wastewater after contrast-enhanced examinations in a dedicated session at ECR 2023.
Mammographic screening is used to detect breast cancer, but is prone to false findings. Could an AI reader help improve this? UK researchers compared the performance of man and machine.
Osaka Metropolitan University scientists have developed an advanced AI model that utilizes chest radiographs to accurately estimate a patient’s "true" age.
Researchers from the University of Chicago developed a deep-learning model to assess chest X-ray radiographs for probable Covid-19 severity.
A team from Geneva demonstrates the value of imaging to detect the presence of tau protein in the brain to predict cognitive decline due to Alzheimer’s disease.
A machine learning model found that background parenchymal enhancement (BPE) on breast MRI is an indicator of breast cancer risk in women with extremely dense breasts.
A new AI model finds that x-ray images collected during routine medical care can provide warning signs for diabetes, even in patients who don’t meet the guidelines for elevated risk.
Identifying victims of major disasters remains a significant challenge for investigators. Often, identification can take weeks or longer but new approaches are paving the way for greater accuracy and quicker identification whilst preserving the body without unnecessary invasive investigation. An expert session at ECR heard about how new imaging technology can help with disaster victim…
A new safety analysis finds AI-supported mammography analysis is as good as two breast radiologists working together to detect breast cancer, almost halving the screen-reading workload.
