Diagnostic Imaging

Researchers from Stanford University may expand current treatment options for osteoarthritis patients by using dual MRI-PET technology to detect increased bone remodeling as an early marker of bone degeneration.  

Tracking tumors inside the body may become easier with the help of a newly developed “in-body GPS” called Remix, developed by researchers at the Massachusetts Institute of Technology (MIT)’s Computer Science and Artificial Intelligence Laboratory (CSAIL) in collaboration with Massachusetts General Hospital.

A new clinical trial—brain xxygen optimization in severe traumatic brain injury, Phase 3 (BOOST-3)—will build off prior research with a goal of improving outcomes in those victims of severe TBI, according to a University of Michigan release.

Tuberculosis (TB) could now be diagnosed in an hour with a new imaging technique guided by glowing bacteria and developed by researchers at Stanford University.

Patients who have suffered a stroke may be helped by four easy checks of their brain CT scans, according to a large analysis published August 14 in The Lancet Neurology.

An artificial intelligence (AI) software designed by Google DeepMind and U.K. physicians identified diseases on optical coherence tomography scans and made the correct referral choice in 94 percent of cases, according to a recent Nature Medicine report.

An artificial intelligence (AI) platform created at Mount Sinai Health System in New York can accurately read a CT scan and diagnose a neurological illness, such as stroke in 1.2 seconds—outperforming its human counterpart.

Incidental pulmonary nodules detected on chest CT cost a downstream average of $393, researchers reported in a new Academic Radiology study. Collaboration may be the key to reducing that number.

Brain MRIs of children diagnosed with the common genetic syndrome neurofibromatosis type 1 (NFI) displayed an underestimated frequency of brain tumors according to research published in Neurology, Clinical Practice.  

In patients with multiple traumas, those who were over 30 years old with severe injuries across more than two body parts were more likely to experience a missed injury upon initial CT scan, according to a recent Radiology study.

Identifying the amount, location and size of lesions on MRI can predict the risk of progression from an early stage of multiple sclerosis (MS) to an official diagnosis within a year, according to authors of a new Brain and Behavior study.

A new technology hopes to break the geographical barriers keeping patients from diagnostic CT scans. The imaging units are hardly mobile, so one scientist is hoping to put similar tools into people’s hands.