Results 21 to 30 of about 3,709,631 (405)
Applications and challenges of artificial intelligence in diagnostic and interventional radiology
Purpose Machine learning (ML) and deep learning (DL) can be utilized in radiology to help diagnosis and for predicting management and outcomes based on certain image findings.
J. Waller +6 more
semanticscholar +1 more source
Prime Time for Artificial Intelligence in Interventional Radiology
Machine learning techniques, also known as artificial intelligence (AI), is about to dramatically change workflow and diagnostic capabilities in diagnostic radiology. The interest in AI in Interventional Radiology is rapidly gathering pace.
J. Seah, T. Boeken, M. Sapoval, G. Goh
semanticscholar +1 more source
Interventional Radiology ex-machina: impact of Artificial Intelligence on practice
Artificial intelligence (AI) is a branch of Informatics that uses algorithms to tirelessly process data, understand its meaning and provide the desired outcome, continuously redefining its logic.
Martina Gurgitano +7 more
semanticscholar +1 more source
Interventional radiology treatments for iatrogenic severe bleeding during percutaneous coronary interventions [PDF]
Purpose: Interventional cardiology and interventional radiology are separate medical disciplines in which intra-arterial contrast media are used. Interventional cardiology has resigned from many types of treatment techniques that are now used and ...
Brzozowski, Krzysztof +5 more
core +1 more source
Context: One of the most important challenges facing the evolution of modern interventional radiology is its lack of awareness among medical students.
Rahaf Albaqawi +5 more
doaj +1 more source
Purpose To quantify and categorize fluoroscopically-guided procedures with radiation doses exceeding 5000 mGy reference point air kerma (Ka,r). Ka,r > 5000 mGy has been defined as a “significant radiation dose” by the Society of Interventional Radiology.
Jacob J. Bundy +10 more
doaj +1 more source
Future scenarios and opportunities for interventional radiology in the post COVID-19 era
Pandemic outbreak has led health systems worldwide into a rapid reorganization in response to coronavirus infections, forcing interventional radiology units to adapt.
Jose Maria Abadal +5 more
doaj +1 more source
Interventional Radiology Readiness Assessment Tool for Global Health
The Interventional Radiology Readiness Assessment Tool for Global Health is a new tool to methodically evaluate the environment of a medical institution for interventional radiology services given the existing infrastructure.
Aaron D. Kline +3 more
doaj +1 more source
Modern evolutions in interventional radiology [PDF]
The spleen is one of the most vulnerable organs in abdominal injuries by contusive mechanism. The treatment of post-traumatic splenic lesions has constantly evolved from surgery to nonoperative treatment in order to preserve the functions of this organ ...
D.P. Venter +4 more
doaj +1 more source
Virtual reality in interventional radiology education: a systematic review
The aim of this study was to compare virtual reality simulation with other methods of teaching interventional radiology. We searched multiple databases-Cochrane Library; Medline (PubMed); Embase; Trip Medical; Education Resources Information Center ...
A. Gelmini +4 more
semanticscholar +1 more source

