Multi-modal large language models (MLLMs) have transformed the landscape of modern healthcare, with automated radiology report generation (RRG) emerging as a cutting-edge application. While 2D ...

The use of CT-based automation for traumatic brain injury may serve as a valuable tool for clinicians to predict disability outcomes in patients. Utilizing automated computed tomography (CT) scans to ...

Sportschosun, Jang Jong-ho] Imaging tests are a key tool in modern medicine for accurately diagnosing diseases and ...

The detection of brain tumors is crucial in medical imaging, because accurate and early diagnosis can have a positive effect on patients. Because traditional deep learning models store all their data ...

A new study shows large increases in the use of computed tomography (CT) scans of the head in emergency departments across the United States from 2007 to 2022. The study, which was published on ...

For patients with mild head injuries, CT scans are often ordered reflexively, even when validated tools suggest the risk of serious trauma is low. In most cases, the scan confirms what clinicians ...

A older patient is guided into a CT scanner — an essential diagnostic tool whose life-saving power is now being weighed against growing concerns about long-term radiation exposure. Computed tomography ...

Please provide your email address to receive an email when new articles are posted on . Data showed a positive association between head/neck CT imaging and risk for childhood brain tumors. Further ...

Forbes contributors publish independent expert analyses and insights. Paul Hsieh, M.D., covers healthcare economics, innovation, and policy. Radiologists have fielded numerous questions in recent ...