Researchers and clinicians at Washington University in St. Louis found a way to improve diagnostic accuracy of potentially cancerous lesions in the ovaries and adnexal regions, or the fallopian tubes.
University of Waterloo researchers are pioneering a method to detect breast cancer in women early enough for them to receive life-saving treatment.
Ten times more detail than current 7T scanners, over 50 times more than 3T: A new type of functional MRI will allow neuroscientists to more precisely localize and trace brain networks.
Royal Philips showcases the world’s first mobile MRI system with helium-free operations at RSNA 2023. BlueSeal MR Mobile is a lightweight 1.5T system with a fully sealed magnet.
The brain of soccer fans is wired in a special way. Now, new research looks into how these MRI insights translate into fanaticism - if you prefer the full term - in other areas, such as politics.
Bone scans have been found to overstage prostate cancer at initial staging compared to prostate specific membrane antigen (PSMA) PET, according to new research.
Ultrasound technology now plays a vital role in clinical diagnosis and management. Significant advances in point-of-care ultrasound (POCUS) have made it a versatile tool for assessment, diagnosis, and follow-up across various fields. New developments continue to expand its applications, improving patient care and outcomes.
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.
Inspired by the enhanced visual system of butterflies, researchers have developed an imaging sensor to “see” into the UV range for differentiating between cancer and normal cells.
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.
Philips and Quibim have signed a multi-year agreement to work on an integrated solution including an AI-based software to automate real-time prostate gland segmentation in MR images.
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 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.
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.
Scientists have developed a device that works with a smartphone or tablet to capture medical images which can identify infected wounds through thermal and fluorescence imaging.
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.