Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.artmed.2021.102037 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Systematic Review of Hybrid Vision Transformer Architectures for Radiological Image Analysis.
J Imaging Inform Med
January 2025
School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA.
Vision transformer (ViT)and convolutional neural networks (CNNs) each possess distinct strengths in medical imaging: ViT excels in capturing long-range dependencies through self-attention, while CNNs are adept at extracting local features via spatial convolution filters. While ViT may struggle with capturing detailed local spatial information, critical for tasks like anomaly detection in medical imaging, shallow CNNs often fail to effectively abstract global context. This study aims to explore and evaluate hybrid architectures that integrate ViT and CNN to leverage their complementary strengths for enhanced performance in medical vision tasks, such as segmentation, classification, reconstruction, and prediction.
View Article and Find Full Text PDFDiagnostic Accuracy of Artificial Intelligence for Detection of Rib Fracture on X-ray and Computed Tomography Imaging: A Systematic Review.
J Imaging Inform Med
January 2025
Department of Orthopedic Surgery, Arrowhead Regional Medical Center, Colton, CA, USA.
Rib pathology is uniquely difficult and time-consuming for radiologists to diagnose. AI can reduce radiologist workload and serve as a tool to improve accurate diagnosis. To date, no reviews have been performed synthesizing identification of rib fracture data on AI and its diagnostic performance on X-ray and CT scans of rib fractures and its comparison to physicians.
View Article and Find Full Text PDFTo assess whether spinal manipulative therapy (SMT) application procedures (ie, target, thrust, and region) impacted changes in pain and disability for adults with spine pain. Systematic review with network meta-analysis. We searched PubMed and Epistemonikos for systematic reviews indexed up to February 2022 and conducted a systematic search of 5 databases (MEDLINE, EMBASE, CENTRAL [Cochrane Central Register of Controlled Trials], PEDro [Physiotherapy Evidence Database], and Index to Chiropractic Literature) from January 1, 2018, to September 12, 2023.
View Article and Find Full Text PDFVirtual 3D reconstruction of complex congenital cardiac anatomy from 3D rotational angiography.
3D Print Med
January 2025
Department of Pediatric Cardiology, The Heart Institute, University of Colorado, Children's Hospital Colorado, 13123 E 16th Ave B100, 80045, Aurora, CO, USA.
Background: Despite advancements in imaging technologies, including CT scans and MRI, these modalities may still fail to capture intricate details of congenital heart defects accurately. Virtual 3D models have revolutionized the field of pediatric interventional cardiology by providing clinicians with tangible representations of complex anatomical structures. We examined the feasibility and accuracy of utilizing an automated, Artificial Intelligence (AI) driven, cloud-based platform for virtual 3D visualization of complex congenital heart disease obtained from 3D rotational angiography DICOM images.
View Article and Find Full Text PDFArtificial intelligence in academic writing: Insights from journal publishers' guidelines.
Perspect Clin Res
August 2024
Department of Physiology, Nagaland Institute of Medical Sciences and Research, Kohima, Nagaland, India.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!