Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.jpeds.2022.07.038 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Benefit from public unlabeled data: A Frangi filter-based pretraining network for 3D cerebrovascular segmentation.
Med Image Anal
January 2025
School of Engineering Medicine and School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, China; Key Laboratory of Big DataBased Precision Medicine (Beihang University), Ministry of Industry and Information Technology of China, Beijing, 100191, China; CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China; National Key Laboratory of Kidney Diseases, Beijing, 100853, China. Electronic address:
Precise cerebrovascular segmentation in Time-of-Flight Magnetic Resonance Angiography (TOF-MRA) data is crucial for computer-aided clinical diagnosis. The sparse distribution of cerebrovascular structures within TOF-MRA images often results in high costs for manual data labeling. Leveraging unlabeled TOF-MRA data can significantly enhance model performance.
View Article and Find Full Text PDFThe efficiency of artificial intelligence for management and clinical decision-making in the identification of patients with undiagnosed HCV infection (Intelligen-C strategy).
Gastroenterol Hepatol
January 2025
Pharmacoeconomics & Outcomes Research Iberia (PORIB), Madrid, España. Electronic address:
Introduction: Artificial intelligence (AI) allows the optimization of diagnostic processes for hepatitis C virus (HCV) patients. Our objective was to evaluate the clinical, economic, and management benefits of an AI-based clinical decision support system (Intelligen-C strategy).
Methods: The Intelligen-C strategy consisted of (1) a retrospective phase (Dec 2013-Sep 2021), in which medical records were reviewed to search for anti-HCV-positive and/or HCV-RNA-positive patients lost in the system, and (2) a prospective phase (Feb 2022-Jan 2023), in which automated screening (40-70 years) and routine testing for risk factors were performed in patients who were admitted to the emergency department or were hospitalized.
Evaluating GPT Models for Automated Literature Screening in Wastewater-Based Epidemiology.
ACS Environ Au
January 2025
Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States.
Methods to quantitatively synthesize findings across multiple studies is an emerging need in wastewater-based epidemiology (WBE), where disease tracking through wastewater analysis is performed at broad geographical locations using various techniques to facilitate public health responses. Meta-analysis provides a rigorous statistical procedure for research synthesis, yet the manual process of screening large volumes of literature remains a hurdle for its application in timely evidence-based public health responses. Here, we evaluated the performance of GPT-3, GPT-3.
View Article and Find Full Text PDFBananaImageBD: A comprehensive banana image dataset for classification of banana varieties and detection of ripeness stages in Bangladesh.
Data Brief
February 2025
Department of Computer Science and Engineering, East West University, Dhaka, Bangladesh.
Bananas are among the most widely consumed fruits globally due to their appealing flavor, high nutritional value, and ease of digestion. In Bangladesh, bananas hold significant agricultural importance, being one of the most extensively cultivated fruits in terms of land coverage and ranking third in production volume. The banana image dataset presented in this article includes clear and detailed images of four common banana varieties in Bangladesh: Sagor Kola (), Shabri Kola (), Bangla Kola ( sp.
View Article and Find Full Text PDFRole of Robotics in Image-Guided Trans-Arterial Interventions.
Tech Vasc Interv Radiol
December 2024
Division of Vascular and Interventional Radiology, Department of Radiology, MedStar Georgetown University Hospital, Washington, DC; Georgetown University School of Medicine, Washington, DC; Lombardi Comprehensive Cancer Center, Washington, DC. Electronic address:
The integration of robotic systems in image-guided trans-arterial interventions has revolutionized the field of Interventional Radiology (IR), offering enhanced precision, safety, and efficiency. These advancements are particularly impactful for acute conditions such as stroke, pulmonary embolism, and STEMI, where timely intervention is critical. Robotic platforms like the CorPath GRX and Magellan allow for remote navigation and catheter-based interventions, making it possible to extend specialized services to remote and underserved areas.
View Article and Find Full Text PDFWant 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!