Cone Beam Computed Tomography (CBCT) is widely utilised in clinical and industrial applications due to its three-dimensional imaging capability; however, scatter artifacts remain a prominent challenge ...

Researchers used a deep learning AI model to uncover the first imaging-based biomarker of chronic stress by measuring adrenal ...

A majority of dental schools in the U.S. own cone-beam CT (CBCT) systems and have incorporated training in 3D image interpretation into their curriculums, according to research presented at the recent ...

ANNAPOLIS, MD, US, October 24, 2022 /EINPresswire.com/ -- RadSite™, a leading accrediting organization promoting performance and quality-based imaging practices ...

In a recent study published in the journal Radiology, researchers in Taiwan developed a deep learning (DL)–based computer-aided detection (CAD) tool to detect pancreatic cancer on contrast-enhanced ...

Deep learning–based reconstruction (DLR) significantly improved image quality in temporal bone ultrahigh-resolution CT (UHR-CT) for both adult and paediatric protocols, reducing noise and enhancing ...

The growing use of cone-beam CT (CBCT) for diagnostic and treatment planning applications in dentistry has prompted a parallel body of discourse on the legal liabilities associated with 3D image ...

A new deep-learning framework is speeding up the process of inspecting additively manufactured metal parts using X-ray computed tomography, or CT, while increasing the accuracy of the results. The ...

Using just one inhalation lung CT scan, a deep learning model can accurately diagnose and stage chronic obstructive pulmonary disease (COPD), according to a study published today in Radiology: ...