This week, news of there being video footage of the incident began to circulate.

The technology is said to be twice as accurate at predicting 5-year cancer risk compared to current risk assessment methods.

Experts are hopeful their device can address some of the shortcomings of shielding methods currently in use.

The method targets cancer stem cells, which are highly tumorigenic and are known to play a significant role in relapse, cancer spread and treatment resistance. @JournalofNucMed

Considering the often-aggressive nature of interval breast cancer, the findings could represent a significant step toward improving patient outcomes, authors of a new research paper suggest.

New findings highlight the “remarkable potential” of LLMs to improve radiology workflows.

The book is intended to fill in the gaps between the technical training techs complete to gain licensure and the spotty MRI safety requirements implemented by governing bodies.

The new data is prompting questions about how stress, isolation and the disruption of normal routines affect the brain on a physiological level.

New survey results from the @ASRT reveal that the vacancy rates in some modalities are nearing all-time highs.

Experts involved in a new study suggest their findings could help bring about more effective treatments for opioid use disorders.

The fusion technology integrates pre-procedural MR images of the prostate with intraprocedural ultrasound images in real-time.

New PET imaging data could be a game-changer for researchers developing treatments for Alzheimer’s disease.

Determining the source of an unprovoked seizure in young patients who have no prior history of seizures can be challenging, and guidelines for doing so are somewhat conflicting.

New research suggests acupuncture therapy can improve white matter integrity and help reduce the symptoms associated with severe concussions.

The new statement is intended to standardize terminology, indications for CT use, acquisition parameters and reporting guidelines for patients with long COVID.

The system was developed to be adaptable within the EHR, enabling improved communication of incidental findings beyond just pulmonary nodules to include other high-risk findings, such as brain aneurysms.

Essentially, the agent places a bright neon sign on the entirety of tumors and their borders, and it does so autonomously.

Experts suggest abnormal findings on cardiopulmonary PET/MR should be considered a risk factor for long-term complications in COVID patients.

Deep learning 3D cameras automate and optimize patient positioning based on their body habitus and placement on the table.

Not only could its use reduce wait times, but it also could decrease the associated costs of imaging.