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http://dx.doi.org/10.1109/MRL.2024.3449789 | DOI Listing |
IEEE Reliab Mag (Piscataway)
December 2024
National Institute of Standards and Technology, Gaithersburg, MD, 20899, USA.
Medicine (Baltimore)
November 2024
Department of Orthopedics, The First People's Hospital of Longquanyi District, Chengdu, Sichuan, China.
The aim was to study the independent risk factors of internal fixation failure in proximal femoral anti-rotation intramedullary nailing for intertrochanteric femur fracture, and to build a nomogram prediction model accordingly. Clinical data of patients with intertrochanteric femoral rotor fractures admitted to the First People's Hospital of Longquanyi District from January 2018 to January 2023 were retrospectively collected. The occurrence of spiral blade cut out, internal fixation breakage, peri-internal fixation fracture, hip internal rotation deformity, and fracture nonunion within 1 year after surgery were included in the internal fixation failure group, and the rest were included in the internal fixation success group.
View Article and Find Full Text PDFComput Methods Programs Biomed
January 2025
School of Information Science and Technology, Fudan University, Shanghai, 200433, China; Key Laboratory of Medical Imaging, Computing and Computer Assisted Intervention, Shanghai, 200433, China. Electronic address:
Background And Objective: Utilizing AI to mine tumor microenvironment information in whole slide images (WSIs) for glioma molecular subtype and prognosis prediction is significant for treatment. Existing weakly-supervised learning frameworks based on multi-instance learning have potential in WSIs analysis, but the large number of patches from WSIs challenges the effective extraction of key local patch and neighboring patch microenvironment info. Therefore, this paper aims to develop an automatic neural network that effectively extracts tumor microenvironment information from WSIs to predict molecular typing and prognosis of glioma.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Graduate School of Health Science and Technology, Ulsan National Institute of Science and Technology, Ulsan, Republic of Korea.
Background: Artificial intelligence (AI) social chatbots represent a major advancement in merging technology with mental health, offering benefits through natural and emotional communication. Unlike task-oriented chatbots, social chatbots build relationships and provide social support, which can positively impact mental health outcomes like loneliness and social anxiety. However, the specific effects and mechanisms through which these chatbots influence mental health remain underexplored.
View Article and Find Full Text PDFAngew Chem Int Ed Engl
January 2025
Nankai University, College of Chemistry, 94 Weijin Rd., 300071, Tianjin, CHINA.
Reliable methods for rapidly constructing C(sp3)-rich three-dimensional polycycles are in high demand for organic synthesis and medicinal chemistry. Although there are various mature systems for synthesizing five- or six-membered polycycles, a catalytic platform for accessing diverse cycloheptanoid-containing polycyclic scaffolds is lacking. Herein, we describe a method for copper-catalyzed intramolecular 2-aminoallyl cation-diene (4 + 3) cycloaddition reactions.
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