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Diagnostic radiology news

Novel AI framework enables efficient collaboration between generalist and specialist models for disease diagnosis

A research team from The Hong Kong University of Science and Technology (HKUST) has developed a novel AI framework, the Generalist–Specialist Collaboration (GSCo), which enables a generalist foundation model and specialist ...

Lanthanide carriers can enhance biomedical imaging and combined diagnosis and treatment approaches

Lanthanide carriers could help define the next generation of biomedical imaging and fast-track the emerging field of theranostics—approaches that link diagnostic imaging with treatment selection, delivery or monitoring.

AI and simulations cut advanced brain MRI time by up to 90%

Two researchers at the Institute for Neurosciences (IN), a joint center of the Spanish National Research Council (CSIC) and the Miguel Hernández University of Elche (UMH), have developed a new strategy based on artificial ...

Q&A: Using advanced imaging to improve brain cancer treatment

Glioblastoma is one of the most treatment-resistant brain tumors, making it especially difficult to treat. Part of that resistance stems from its unique tumor microenvironment—the complex mix of cells and biological activity ...

MRI technique enhances valve disease evaluation

A new cardiac magnetic resonance imaging-based measurement may improve how physicians assess a common heart valve condition, according to a study led by Weill Cornell Medicine and NewYork-Presbyterian investigators. The findings ...

AI flags heart risks in breast cancer patients

UBC Okanagan researchers, working with scientists at BC Cancer–Kelowna, have developed a groundbreaking AI model that can help identify breast cancer patients who may face a double-threat—that of cancer and cardiovascular ...

Doctors urge caution regarding elective MRI in new editorial

According to leading radiologists, elective MRI screenings are not recommended and can do more harm than good. In a new editorial in JAMA, experts from the University of Michigan Health and the University of Wisconsin School ...

AI model analyzes body composition to predict health risks

Researchers used AI to analyze whole-body MRI scans from more than 66,000 participants to create the most detailed reference map to date of how fat and muscle are distributed in the human body across age, sex, and height. ...