Ultrasound and CT improve nodal staging in high-risk cSCC but show reduced accuracy in immunosuppressed patients. Learn more ...

AI algorithms using routine head CT images enhance cardiovascular risk detection beyond traditional clinical models and risk equations.

Less than a year after earning his first national credential, Spc. Johnny Rainwater, a radiology specialist at Bayne-Jones ...

X-ray fluorescence imaging and computed tomography represent a convergent approach that combines elemental sensitivity with high-resolution anatomical imaging. By utilising characteristic secondary ...

Computed Tomography (CT) imaging is a medical imaging technique that uses specialized X-ray equipment to create cross-sectional images, which can be used individually or combined to form ...

The Graduate Certificate in Computed Tomography (CT) is designed for those who hold both a bachelor’s degree and a primary certification in radiography, nuclear medicine technology, or radiation ...

Development and Validation of a Simulation Model–Based Tool to Support Individualized Physical Activity Discussions and Prescriptions for Breast Cancer Survivors We used electronic health records of ...

Designed for diagnostic radiology and RT, the Rembra platform extends CT imaging capability to more connected workflows.

This predictive model built on readily acquired clinical data provides encouraging results for the detection of residual disease. External validation and prospective studies implementing the model in ...

Upright area-detector CT is equal to or better than supine ADCT in detecting the loss in lung function and assessing the severity of PPF.

Damo Academy says its Coca AI model accurately identified five previously missed cases from scans of more than 27,000 people.

Computed tomography (CT) is getting applied to a growing number of applications involving additive manufacturing in aerospace product development and qualification. CT applications range from ...