Results 11 to 20 of about 3,529,155 (384)
A Computed Tomography Vertebral Segmentation Dataset with Anatomical Variations and Multi-Vendor Scanner Data [PDF]
With the advent of deep learning algorithms, fully automated radiological image analysis is within reach. In spine imaging, several atlas- and shape-based as well as deep learning segmentation algorithms have been proposed, allowing for subsequent automated analysis of morphology and pathology.
H. Liebl+25 more
arxiv +3 more sources
Artificial intelligence (AI) uses computer algorithms to process and interpret data as well as perform tasks, while continuously redefining itself. Machine learning, a subset of AI, is based on reverse training in which evaluation and extraction of data ...
Elizabeth von Ende+3 more
doaj +2 more sources
Ergonomics in Interventional Radiology: Awareness Is Mandatory
Ergonomics in interventional radiology has not been thoroughly evaluated. Like any operators, interventional radiologists are exposed to the risk of work-related musculoskeletal disorders.
Francois H. Cornelis+8 more
doaj +2 more sources
Radiology Technologists Performing Peritoneal Drainage, Local Experience
Purpose We conducted this study to review our experience of peritoneal drainages (paracentesis) performed by interventional radiology technologists.
I Aljediea+4 more
doaj +1 more source
Robotics in Interventional Radiology: Review of Current and Future Applications
This review is a brief overview of the current status and the potential role of robotics in interventional radiology. Literature published in the last decades, with an emphasis on the last 5 years, was reviewed and the technical developments in robotics ...
C. Lanza+10 more
semanticscholar +1 more source
Experience of Radiology Technologists Performing Peripherally Inserted Central Catheters (PICC)
Purpose We conducted this study to review our local experience of performing peripherally inserted central catheters by interventional radiology technologists.
I. Aljediea+4 more
doaj +1 more source
Artificial intelligence in interventional radiology: state of the art. [PDF]
Artificial intelligence (AI) has demonstrated great potential in a wide variety of applications in interventional radiology (IR). Support for decision-making and outcome prediction, new functions and improvements in fluoroscopy, ultrasound, computed ...
Glielmo P+7 more
europepmc +2 more sources
Current State of Robotics in Interventional Radiology
As a relatively new specialty with a minimally invasive nature, the field of interventional radiology is rapidly growing. Although the application of robotic systems in this field shows great promise, such as with increased precision, accuracy, and ...
Ghazal Najafi+3 more
semanticscholar +1 more source
Interventional Radiology: Indications And Best Practices
Volume 99, Number 9 www.aafp.org/afp American Family Physician 547 Interventional radiology employs image-guided techniques to perform minimally invasive procedures, providing lower-risk alternatives to many traditional medical and surgical therapies ...
A. Alshamrani+5 more
semanticscholar +1 more source
Cross-Modal Causal Intervention for Medical Report Generation [PDF]
Radiology Report Generation (RRG) is essential for computer-aided diagnosis and medication guidance, which can relieve the heavy burden of radiologists by automatically generating the corresponding radiology reports according to the given radiology image.
arxiv +1 more source