AIMC Topic: Time Factors

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Improved Arterial Stiffness Indices 3 and 6 Months after Living-donor Renal Transplantation.

Saudi journal of kidney diseases and transplantation : an official publication of the Saudi Center for Organ Transplantation, Saudi Arabia Mar 11, 2024
Arterial stiffness is a non-traditional risk factor of cardiovascular disease and may explain part of the excess cardiovascular risk in chronic kidney disease patients. Successful renal transplantation (RT) may restore renal function and improve seve...
Kidney Failure, Chronic Pulse Wave Analysis Calcineurin Inhibitors Humans Female Kidney Transplantation Age Factors Middle Aged Prospective Studies Immunosuppressive Agents Time Factors Young Adult Vascular Stiffness Treatment Outcome Adult Living Donors Male
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Machine learning-assisted prediction of trabeculectomy outcomes among patients of juvenile glaucoma by using 5-year follow-up data.

Indian journal of ophthalmology Mar 8, 2024
OBJECTIVE: To develop machine learning (ML) models, using pre and intraoperative surgical parameters, for predicting trabeculectomy outcomes in the eyes of patients with juvenile-onset primary open-angle glaucoma (JOAG) undergoing primary surgery.
Female Young Adult Adult Intraocular Pressure Humans Machine Learning Retrospective Studies Glaucoma, Open-Angle Gonioscopy Trabeculectomy Male Child ROC Curve Adolescent Treatment Outcome Time Factors Follow-Up Studies
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AI-Defined Cardiac Anatomy Improves Risk Stratification of Hybrid Perfusion Imaging.

JACC. Cardiovascular imaging Mar 6, 2024
BACKGROUND: Computed tomography attenuation correction (CTAC) improves perfusion quantification of hybrid myocardial perfusion imaging by correcting for attenuation artifacts. Artificial intelligence (AI) can automatically measure coronary artery cal...
Vascular Calcification Computed Tomography Angiography Coronary Circulation Myocardial Perfusion Imaging Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Coronary Vessels Single Photon Emission Computed Tomography Computed Tomography Risk Factors Aged Male Middle Aged Risk Assessment Time Factors Predictive Value of Tests Coronary Angiography Prognosis Retrospective Studies Female Reproducibility of Results Humans Artificial Intelligence
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Impact of artificial intelligence arrhythmia mapping on time to first ablation, procedure duration, and fluoroscopy use.

Journal of cardiovascular electrophysiology Mar 4, 2024
INTRODUCTION: Artificial intelligence (AI) ECG arrhythmia mapping provides arrhythmia source localization using 12-lead ECG data; whether this information impacts procedural efficiency is unknown. We performed a retrospective, case-control study to e...
Time Factors Electrocardiography Treatment Outcome Action Potentials Male Middle Aged Case-Control Studies Heart Rate Humans Catheter Ablation Operative Time Time-to-Treatment Artificial Intelligence Predictive Value of Tests Electrophysiologic Techniques, Cardiac Retrospective Studies Fluoroscopy Female Arrhythmias, Cardiac Aged
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12-Lead ECG Reconstruction Based on Data From the First Limb Lead.

Cardiovascular engineering and technology Feb 29, 2024
PURPOSE: Electrocardiogram (ECG) data obtained from 12 leads are the most common and informative source for analyzing the cardiovascular system's (CVS) condition in medical practice. However, the large number of electrodes, specific placements on the...
Predictive Value of Tests Signal Processing, Computer-Assisted Heart Rate Reproducibility of Results Time Factors Humans Electrocardiography Neural Networks, Computer Action Potentials
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TCDformer: A transformer framework for non-stationary time series forecasting based on trend and change-point detection.

Neural networks : the official journal of the International Neural Network Society Feb 23, 2024
Although time series prediction models based on Transformer architecture have achieved significant advances, concerns have arisen regarding their performance with non-stationary real-world data. Traditional methods often use stabilization techniques ...
Neural Networks, Computer Forecasting Time Factors
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Modelling the GDP of KSA using linear and non-linear NNAR and hybrid stochastic time series models.

PloS one Feb 23, 2024
BACKGROUND: Gross domestic product (GDP) serves as a crucial economic indicator for measuring a country's economic growth, exhibiting both linear and non-linear trends. This study aims to analyze and propose an efficient and accurate time series appr...
Neural Networks, Computer Forecasting Incidence Time Factors Models, Statistical Gross Domestic Product
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Prediction of Hematoma Expansion in Intracerebral Hemorrhage in 24 Hours by Machine Learning Algorithm.

World neurosurgery Feb 22, 2024
OBJECTIVE: The significance of noncontrast computer tomography (CT) image markers in predicting hematoma expansion (HE) following intracerebral hemorrhage (ICH) within different time intervals in the initial 24 hours after onset may be uncertain. Hen...
Humans Machine Learning Algorithms Retrospective Studies Tomography, X-Ray Computed Female Hematoma Disease Progression Time Factors Cerebral Hemorrhage Predictive Value of Tests Aged Male Middle Aged
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Development of an Artificial Intelligence-Based Image Recognition System for Time-Sequence Analysis of Tracheal Intubation.

Anesthesia and analgesia Feb 21, 2024
BACKGROUND: Total intubation time (TIT) is an objective indicator of tracheal intubation (TI) difficulties. However, large variations in TIT because of diverse initial and end targets make it difficult to compare studies. A video laryngoscope (VLS) c...
Laryngoscopes Humans Artificial Intelligence Reproducibility of Results Time Factors Video Recording Laryngoscopy Intubation, Intratracheal
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Delay-dependent Lurie-Postnikov type Lyapunov-Krasovskii functionals for stability analysis of discrete-time delayed neural networks.

Neural networks : the official journal of the International Neural Network Society Feb 20, 2024
This paper addresses the influence of time-varying delay and nonlinear activation functions with sector restrictions on the stability of discrete-time neural networks. Compared to previous works that mainly focuses on the influence of delay informati...
Algorithms Time Factors Neural Networks, Computer
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