Fluoroscopic Imaging Advancements: Innovation, AI, and Dose Management
*Corresponding Author: Dr. Juan Torres, Department of Advanced Fluoroscopy, Quito Medical University, Ecuador, Email: j.torres@fluorad.ecReceived Date: Jul 01, 2025 / Published Date: Jul 29, 2025
Citation: Torres DJ (2025) Fluoroscopic Imaging Advancements: Innovation, AI, and Dose Management. J Radiol 14: 710.DOI: 10.4172/2167-7964.1000710
Copyright: © 2025 Dr. Juan Torres This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
Abstract
This collection of studies explores recent advancements in fluoroscopic imaging, focusing on improved detector technologies, iterative reconstruction algorithms, and the integration of artificial intelligence. Hybrid imaging systems, spectral photon-counting detectors, and advanced dose reduction strategies are discussed. Applications in interventional cardiology and the use of augmented/virtual reality for guidance and training are highlighted. Special attention is given to radiation dose management in interventional procedures and pediatric fluoroscopy, emphasizing enhanced image quality, patient safety, and optimized workflows.
