PURPOSE: To investigate the effects of deep learning reconstruction on depicting arteries and providing suitable images for the evaluation of hemorrhages with abdominopelvic contrast-enhanced computed tomography (CT) compared with hybrid iterative re...
Artificial intelligence (AI) is a rapidly growing profession that shows continued promise for diagnostic imaging in various disciplines, including dermatology and pathology. The benefits of AI, however, extend beyond the imaging department as radiati...
PURPOSE: To discuss recent studies that validate the combination of traditional teaching and virtual simulation training in reducing common errors, enhancing students' confidence, improving their performance, and increasing deep learning.
Filtered back projection was used in computed tomography (CT) but produced low-dose CT images that were noisy and included artifacts. Iterative reconstruction was introduced, which reduced noise and demonstrated dose reduction; however, reconstructio...
Artificial intelligence (AI) has existed for decades and continues to evolve as technology advances. In health care, AI can be used to simplify the check-in process for patients, make patient records more efficient, monitor disease, aid diagnosis, as...