Radiologists use diagnostic imaging to non-invasively look inside the body to help determine the causes of an injury or an illness, and confirm a diagnosis. Providers use many imaging modalities to do so, including CT, MRI, X-ray, Ultrasound, PET and more.
This is a clinical photo gallery of fetal imaging that explains what all can be seen on medical imaging, how sex is determined, how measurements are used to track the development of a baby.
Serious discrepancies between preliminary imaging reads and final radiology reports are at risk of accumulating when the prelims are rendered during overnight hours.
Radiology education researchers have created an image-intensive online course for third- and fourth-year medical students wishing to learn radiology remotely.
Experts from Mayo Clinic recently detailed their experience with the new offering, sharing that out of their 10 top ranked candidates, six had signaled the program.
Features pertaining to location, density and superimposed structures were recently found to be associated with poorer outcomes for patients who initially had their lung cancer overlooked on radiographs.
The Australia-based company made the announcement on April 12 in a release that described the timing of these AI-assisted solutions as “increasingly important” amid growing workloads and staffing shortages.
Radiologists used an AI tool-building platform to create their model(s), which allows clinicians the opportunity to develop AI models without any prior training in data sciences or computer programming.
The tool’s sensitivity was recorded as 99.1% for abnormal radiographs and 99.8% for critical radiographs—better than two board-certified radiologists who also interpreted the exams.
The American Society of Echocardiography released a new guideline document on the comprehensive use of echocardiography in the diagnosis and therapeutic intervention of rheumatic heart disease.
Sean Fain, PhD, vice chair of radiology and research and a professor of radiology, University of Iowa, discusses how long-COVID lung damage can be tracked using xenon (Xe) gas MRI and quantitative CT at RSNA 2022.
Tim Szczykutowicz, PhD, DABR, associate professor of radiology at the University of Wisconsin-Madison, is helping develop a new type of photon-counting CT detector that was shown as a work-in-progress by GE Healthcare at RSNA 2022.
Automated AI-generated measurements combined with annotated CT images can improve treatment planning and help referring physicians and patients better understand their disease, explained Sarah Jane Rinehart, MD, director of cardiac imaging with Charleston Area Medical Center.
Two advanced algorithms—one for CAC scores and another for segmenting cardiac chamber volumes—outperformed radiologists when assessing low-dose chest CT scans.
"Gen AI can help tackle repetitive tasks and provide insights into massive datasets, saving valuable time," Thomas Kurian, CEO of Google Cloud, said Tuesday.