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Machine learning-based risk prediction model for arteriovenous fistula stenosis.
European journal of medical research
Mar 29, 2025
BACKGROUND: Arteriovenous fistula stenosis is a common complication in hemodialysis patients, yet effective predictive tools are lacking. This study aims to develop an interpretable machine learning model for stenosis risk prediction.
Exploring non-invasive biomarkers for pulmonary nodule detection based on salivary microbiomics and machine learning algorithms.
Scientific reports
Mar 29, 2025
Microorganisms are one of the most promising biomarkers for cancer, and the relationship between microorganisms and lung cancer occurrence and development provides significant potential for pulmonary nodule (PN) diagnosis from a microbiological persp...
A vision transformer-convolutional neural network framework for decision-transparent dual-energy X-ray absorptiometry recommendations using chest low-dose CT.
International journal of medical informatics
Mar 28, 2025
OBJECTIVE: This study introduces an ensemble framework that integrates Vision Transformer (ViT) and Convolutional Neural Networks (CNN) models to leverage their complementary strengths, generating visualized and decision-transparent recommendations f...
Automated Measurements of Spinal Parameters for Scoliosis Using Deep Learning.
Spine
Mar 28, 2025
STUDY DESIGN: Retrospective single-institution study.
Artificial Intelligence: Potential for the Future.
Professional case management
Mar 28, 2025
Artificial Intelligence (AI) is here to stay. Fear and reservations still abound; however, many large institutions are developing and researching new treatments for diseases that may help our patients/clients in the near future.
IdenBAT: Disentangled representation learning for identity-preserved brain age transformation.
Artificial intelligence in medicine
Mar 28, 2025
Brain age transformation aims to convert reference brain images into synthesized images that accurately reflect the age-specific features of a target age group. The primary objective of this task is to modify only the age-related attributes of the re...
Healthcare resource utilization for the management of neonatal head shape deformities: a propensity-matched analysis of AI-assisted and conventional approaches.
Journal of neurosurgery. Pediatrics
Mar 28, 2025
OBJECTIVE: Overuse of radiography studies and underuse of conservative therapies for cranial deformities in neonates is a known inefficiency in pediatric craniofacial healthcare. This study sought to establish whether the introduction of artificial i...
Development and Multi-center validation of a machine learning Model for advanced colorectal neoplasms screening.
Computers in biology and medicine
Mar 28, 2025
BACKGROUND: In colorectal cancer (CRC) screening programs, accurately identifying individuals at high risk for advanced colorectal neoplasia (ACN) is essential as they require further colonoscopy, early intervention, and monitoring follow-up. This st...
O blood usage trends in the pediatric population 2015-2019: A multi-institutional analysis.
Transfusion
Mar 28, 2025
BACKGROUND: In 2019, AABB released the bulletin "Recommendations on the Use of Group O Red Blood Cells" in which the recommendations about pediatric and neonatal blood transfusions were limited. Eight U.S. pediatric hospitals sought to determine tren...
Placing Objects on Table Is Preferred over Direct Handovers When Users Are Occupied.
Sensors (Basel, Switzerland)
Mar 28, 2025
Service robots commonly deliver objects through direct handovers, assuming users are fully attentive. However, in real-world scenarios, users are often occupied with other tasks. This paper investigates how user attentiveness affects preferences betw...
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