[HTML][HTML] Understanding the factors influencing acceptability of AI in medical imaging domains among healthcare professionals: A sco** review
Background Artificial intelligence (AI) technology has the potential to transform medical
practice within the medical imaging industry and materially improve productivity and patient …
practice within the medical imaging industry and materially improve productivity and patient …
Orchestrating explainable artificial intelligence for multimodal and longitudinal data in medical imaging
Explainable artificial intelligence (XAI) has experienced a vast increase in recognition over
the last few years. While the technical developments are manifold, less focus has been …
the last few years. While the technical developments are manifold, less focus has been …
[HTML][HTML] Applications of deep learning in trauma radiology: a narrative review
CT Cheng, CH Ooyang, CH Liao, SC Kang - Biomedical Journal, 2025 - Elsevier
Diagnostic imaging is essential in modern trauma care for initial evaluation and identifying
injuries requiring intervention. Deep learning (DL) has become mainstream in medical …
injuries requiring intervention. Deep learning (DL) has become mainstream in medical …
How to prepare for a bright future of radiology in Europe
M Becker - Insights into Imaging, 2023 - Springer
Because artificial intelligence (AI)-powered algorithms allow automated image analysis in a
growing number of diagnostic scenarios, some healthcare stakeholders have raised doubts …
growing number of diagnostic scenarios, some healthcare stakeholders have raised doubts …
2023 survey on user experience of artificial intelligence software in radiology by the Korean Society of Radiology
Objective In Korea, radiology has been positioned towards the early adoption of artificial
intelligence-based software as medical devices (AI-SaMDs); however, little is known about …
intelligence-based software as medical devices (AI-SaMDs); however, little is known about …
Pulmonary contusion: automated deep learning-based quantitative visualization
Purpose Rapid automated CT volumetry of pulmonary contusion may predict progression to
Acute Respiratory Distress Syndrome (ARDS) and help guide early clinical management in …
Acute Respiratory Distress Syndrome (ARDS) and help guide early clinical management in …
Deep Learning for automated detection and localization of traumatic abdominal solid organ injuries on CT scans
Computed tomography (CT) is the most commonly used diagnostic modality for blunt
abdominal trauma (BAT), significantly influencing management approaches. Deep learning …
abdominal trauma (BAT), significantly influencing management approaches. Deep learning …
A vendor-agnostic, PACS integrated, and DICOM-compatible software-server pipeline for testing segmentation algorithms within the clinical radiology workflow
Background Reproducible approaches are needed to bring AI/ML for medical image
analysis closer to the bedside. Investigators wishing to shadow test cross-sectional medical …
analysis closer to the bedside. Investigators wishing to shadow test cross-sectional medical …
'Humans think outside the pixels'–Radiologists' perceptions of using artificial intelligence for breast cancer detection in mammography screening in a clinical setting
JV Johansson, E Engström - Health Informatics Journal, 2024 - journals.sagepub.com
Objective This study aimed to explore radiologists' views on using an artificial intelligence
(AI) tool named ScreenTrustCAD with Philips equipment) as a diagnostic decision support …
(AI) tool named ScreenTrustCAD with Philips equipment) as a diagnostic decision support …
RSNA 2023 Abdominal Trauma AI Challenge Review and Outcomes Analysis
S Hermans, Z Hu, RL Ball, HM Lin… - Radiology: Artificial …, 2024 - pubs.rsna.org
“Just Accepted” papers have undergone full peer review and have been accepted for
publication in Radiology: Artificial Intelligence. This article will undergo copyediting, layout …
publication in Radiology: Artificial Intelligence. This article will undergo copyediting, layout …