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Association between match-related physical activity profiles and playing positions in different tasks: A data driven approach.
Journal of sports sciences
Apr 4, 2024
Assessing the intensity characteristics of specific soccer drills (matches, small-side game, and match-based exercises) could help practitioners to plan training sessions by providing the optimal stimulus for every player. In this paper, we propose a...
Deep Learning for Automated Measurement of Total Cardiac Volume for Heart Transplantation Size Matching.
Pediatric cardiology
Apr 3, 2024
Total Cardiac Volume (TCV)-based size matching using Computed Tomography (CT) is a novel technique to compare donor and recipient heart size in pediatric heart transplant that may increase overall utilization of available grafts. TCV requires manual ...
Deep learning-based computer-aided diagnosis system for the automatic detection and classification of lateral cervical lymph nodes on original ultrasound images of papillary thyroid carcinoma: a prospective diagnostic study.
Endocrine
Apr 3, 2024
PURPOSE: This study aims to develop a deep learning-based computer-aided diagnosis (CAD) system for the automatic detection and classification of lateral cervical lymph nodes (LNs) on original ultrasound images of papillary thyroid carcinoma (PTC) pa...
Development and prospective clinical validation of a convolutional neural network for automated detection and segmentation of focal cortical dysplasias.
Epilepsy research
Apr 3, 2024
PURPOSE: Focal cortical dysplasias (FCDs) are a leading cause of drug-resistant epilepsy. Early detection and resection of FCDs have favorable prognostic implications for postoperative seizure freedom. Despite advancements in imaging methods, FCD det...
[Involvement of essential trace elements in the pathogenesis of thyroid diseases: diagnostic markers and analytical methods for determination].
Problemy endokrinologii
Apr 2, 2024
AIM: To study the role of iodine, selenium and zinc in the pathogenesis of iodine deficiency and autoimmune thyroid diseases and scientifically substantiate the choice of security biomarkers and analytical methods for determination.
Machine learning-based pathomics signature of histology slides as a novel prognostic indicator in primary central nervous system lymphoma.
Journal of neuro-oncology
Apr 1, 2024
PURPOSE: To develop and validate a pathomics signature for predicting the outcomes of Primary Central Nervous System Lymphoma (PCNSL).
BPI-GNN: Interpretable brain network-based psychiatric diagnosis and subtyping.
NeuroImage
Apr 1, 2024
Converging evidence increasingly suggests that psychiatric disorders, such as major depressive disorder (MDD) and autism spectrum disorder (ASD), are not unitary diseases, but rather heterogeneous syndromes that involve diverse, co-occurring symptoms...
Identifying low acuity Emergency Department visits with a machine learning approach: The low acuity visit algorithms (LAVA).
Health services research
Mar 30, 2024
OBJECTIVE: To improve the performance of International Classification of Disease (ICD) code rule-based algorithms for identifying low acuity Emergency Department (ED) visits by using machine learning methods and additional covariates.
Exploratory analysis using machine learning algorithms to predict pinch strength by anthropometric and socio-demographic features.
International journal of occupational safety and ergonomics : JOSE
Mar 30, 2024
. This study examines the role of different machine learning (ML) algorithms to determine which socio-demographic factors and hand-forearm anthropometric dimensions can be used to accurately predict hand function. . The cross-sectional study was cond...
Machine Learning Identifies Higher Survival Profile In Extracorporeal Cardiopulmonary Resuscitation.
Critical care medicine
Mar 27, 2024
OBJECTIVES: Extracorporeal cardiopulmonary resuscitation (ECPR) has been shown to improve neurologically favorable survival in patients with refractory out-of-hospital cardiac arrest (OHCA) caused by shockable rhythms. Further refinement of patient s...
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