AIMC Topic: Teleradiology
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Remote-Controlled and Teleoperated Systems: Taking Robotic Image Guided Interventions to the Next Stage.
Techniques in vascular and interventional radiology
Nov 22, 2024
Remote-controlled and teleoperated robotic systems mark transformative advancements in interventional radiology (IR), with the potential to enhance precision, reduce radiation exposure, and expand access to care. By integrating robotic devices with i...
The concept of the invisible radiologist in the era of artificial intelligence.
European journal of radiology
Jan 4, 2022
The radiologists were traditionally working in the background. What upgraded them as physicians during the second half of the past century was their clinical training and function precipitated by the evolution of Interventional Radiology and Medical ...
[Artificial Intelligence and teleradiology in cardiovascular imaging by CT-Scan and MRI].
Annales de cardiologie et d'angeiologie
Sep 10, 2021
Cardiac CT-Scan and cardiac magnetic resonance imaging (MRI) are two booming cardiac imaging modalities especially in chest pain screening for CT-Scan and in surveillance of patients with known coronary artery disease for MRI. Artificial Intelligence...
Robotic Arm-Assisted Sonography: Review of Technical Developments and Potential Clinical Applications.
AJR. American journal of roentgenology
Feb 8, 2017
OBJECTIVE: Ultrasound imaging requires trained personnel. Advances in robotics and data transmission create the possibility of telesonography. This review introduces clinicians to current technical work in and potential applications of this developin...
Leveraging teleradiology with artificial intelligence.
Bulletin of the World Health Organization
Feb 1, 2025
Can teleradiology supported by artificial intelligence (AI) boost overall radiology capacity in resource-constrained settings? Gary Humphreys reports.
Deep Learning to Detect Intracranial Hemorrhage in a National Teleradiology Program and the Impact on Interpretation Time.
Radiology. Artificial intelligence
Sep 1, 2024
The diagnostic performance of an artificial intelligence (AI) clinical decision support solution for acute intracranial hemorrhage (ICH) detection was assessed in a large teleradiology practice. The impact on radiologist read times and system efficie...
Client-Side Application of Deep Learning Models Through Teleradiology.
Studies in health technology and informatics
May 18, 2023
Deep learning models for radiology are typically deployed either through cloud-based platforms, through on-premises infrastructures, or though heavyweight viewers. This tends to restrict the audience of deep learning models to radiologists working in...
Detection of tuberculosis patterns in digital photographs of chest X-ray images using Deep Learning: feasibility study.
The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease
Mar 1, 2018
OBJECTIVE: To evaluate the feasibility of Deep Learning-based detection and classification of pathological patterns in a set of digital photographs of chest X-ray (CXR) images of tuberculosis (TB) patients.
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