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.
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.
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…
With the recent recommendation changes from the European Council in 2022, how radiologists screen for breast cancer is changing. Mammography has long been an essential technology in screening for breast cancer, and in the recommendations the Council formally recognized the advantages of digital breast tomosynthesis (DBT). This landmark acknowledges the research on and benefits of DBT, advocating…
Combining ultrasound and MRI technology can help detect prostate cancer at an earlier stage and potentially save lives, according to new University of Dundee research.
Researchers at Monash University have designed a new co-training AI algorithm for medical imaging that can effectively mimic the process of seeking a second opinion.
Combining two types of heart scan techniques could help doctors to detect deadly hypertrophic cardiomyopathy (HCM) before symptoms and signs on conventional tests appear.
Researchers at NIST have been working on several fronts to advance low-field MRI technology and validate methods for creating images with weaker magnetic fields.
A new imaging method devised by German researchers offers a fast and cost-effective way to observe abnormal metabolic processes live in the MRI scanner.
University of Ottawa scientists have introduced a metal-free MRI dye capable of mapping kidney function with unprecedented accuracy — a promising technique for more personalized care.