2020 JAN 22 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News-- Researchers detail new data in Computers - Computer-Assisted Tomography. According to news reporting from Boston, ...

X‐ray luminescence computed tomography (XLCT) is an emerging hybrid imaging modality that exploits the penetrating power of X‐rays to excite specialised nanophosphors, which in turn emit optical ...

Cone-beam computed tomography (CBCT) has emerged as a valuable imaging modality in various interventional and diagnostic applications, offering the advantage of three-dimensional visualisation from a ...

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

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...

Between January 2004 and June 2021, 2,677 patients with 12,255 CT reports and 670 patients with 3,058 CT reports were allocated to training and internal testing data sets, respectively. ClinicalBERT ...

Coronary artery disease is the leading cause of death in the United States, thus the intense interest in a screening test that would allow early identification of coronary artery disease in its ...

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 ...

About The Study: This study found that at current utilization and radiation dose levels, computed tomography examinations in 2023 were projected to result in approximately 103,000 future cancers over ...

Systemic Therapy for Muscle-Invasive Urothelial Carcinoma of the Bladder (Muscle-Invasive Bladder Cancer): Insights From Real-World Data Patients with stage I-III colon cancer treated with upfront ...

Tomography, which involves methods of virtually slicing through three-dimensional structures to generate internal visualizations such as cross-sectional views, has a long history in medicine.