AIMC Topic: Time Factors

Clear Filters Showing 291 to 300 of 2001 articles

Ensemble machine learning to predict futile recanalization after mechanical thrombectomy based on non-contrast CT imaging.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Aug 6, 2024
OBJECTIVES: Despite successful recanalization after Mechanical Thrombectomy (MT), approximately 25 % of patients with Acute Ischemic Stroke (AIS) due to Large Vessel Occlusion (LVO) show unfavorable clinical outcomes, namely Futile Recanalization (FR...
Aged Aged, 80 and over Male Middle Aged Tomography, X-Ray Computed Clinical Decision-Making Humans Machine Learning Female Decision Support Techniques Risk Factors Retrospective Studies Ischemic Stroke Radiographic Image Interpretation, Computer-Assisted Infarction, Middle Cerebral Artery Thrombectomy Medical Futility Risk Assessment Time Factors Treatment Outcome Predictive Value of Tests
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Generative artificial intelligence versus clinicians: Who diagnoses multiple sclerosis faster and with greater accuracy?

Multiple sclerosis and related disorders Aug 6, 2024
BACKGROUND: Those receiving the diagnosis of multiple sclerosis (MS) over the next ten years will predominantly be part of Generation Z (Gen Z). Recent observations within our clinic suggest that younger people with MS utilize online generative artif...
Adolescent Time Factors Age Factors Multiple Sclerosis Humans Young Adult Artificial Intelligence Adult Retrospective Studies Male Female Middle Aged
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A deep learning-based real-time hypothermia and hyperthermia monitoring system with a simple body sensor.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine Aug 6, 2024
A real-time hypothermia and hyperthermia monitoring system with a simple body sensor based on a Convolutional Neural Network (CNN) is presented. The sensor is produced with 3D-printed thermochromic material. Due to the color change feature of thermoc...
Hyperthermia Monitoring, Physiologic Printing, Three-Dimensional Polyesters Hypothermia Humans Temperature Deep Learning Time Factors
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Improved fixed-time stability analysis and applications to synchronization of discontinuous complex-valued fuzzy cellular neural networks.

Neural networks : the official journal of the International Neural Network Society Jul 30, 2024
This article mainly centers on proposing new fixed-time (FXT) stability lemmas of discontinuous systems, in which novel optimization approaches are utilized and more relaxed conditions are required. The conventional discussions about Vt>1 and 0
Algorithms Computer Simulation Time Factors Fuzzy Logic Neural Networks, Computer
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Using machine learning to predict the risk of short-term and long-term death in acute kidney injury patients after commencing CRRT.

BMC nephrology Jul 30, 2024
BACKGROUND: The mortality rate and prognosis of short-term and long-term acute kidney injury (AKI) patients who undergo continuous renal replacement therapy (CRRT) are different. Setting up risk stratification tools for both short-term and long-term ...
Acute Kidney Injury Female Aged Male Humans Machine Learning Prognosis Continuous Renal Replacement Therapy Middle Aged Risk Assessment Time Factors
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Predicting inferior vena cava filter complications using machine learning.

Journal of vascular surgery. Venous and lymphatic disorders Jul 29, 2024
OBJECTIVE: Inferior vena cava (IVC) filter placement is associated with important long-term complications. Predictive models for filter-related complications may help guide clinical decision-making but remain limited. We developed machine learning (M...
Middle Aged Risk Assessment Postoperative Complications Time Factors Treatment Outcome Predictive Value of Tests Prosthesis Implantation Vena Cava Filters Humans Machine Learning Risk Factors Aged Adult Male Decision Support Techniques Databases, Factual Retrospective Studies Female
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Clinical utility of a rapid two-dimensional balanced steady-state free precession sequence with deep learning reconstruction.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Jul 28, 2024
BACKGROUND: Cardiovascular magnetic resonance (CMR) cine imaging is still limited by long acquisition times. This study evaluated the clinical utility of an accelerated two-dimensional (2D) cine sequence with deep learning reconstruction (Sonic DL) t...
Stroke Volume Magnetic Resonance Imaging, Cine Middle Aged Aged Ventricular Function, Right Humans Deep Learning Adult Predictive Value of Tests Prospective Studies Male Time Factors Heart Ventricles Female Ventricular Function, Left Image Interpretation, Computer-Assisted Reproducibility of Results Observer Variation
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Photonic deep residual time-delay reservoir computing.

Neural networks : the official journal of the International Neural Network Society Jul 27, 2024
Time-delay reservoir computing (TDRC) represents a simplified variant of recurrent neural networks, employing a nonlinear node with a feedback mechanism to construct virtual nodes. The capabilities of TDRC can be enhanced by transitioning to a deep a...
Algorithms Feedback Deep Learning Time Factors Neurons Neural Networks, Computer Nonlinear Dynamics Artificial Intelligence Photons
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Holistic evaluation of a machine learning-based timing calibration for PET detectors under varying data sparsity.

Physics in medicine and biology Jul 26, 2024
Modern PET scanners offer precise TOF information, improving the SNR of the reconstructed images. Timing calibrations are performed to reduce the worsening effects of the system components and provide valuable TOF information. Traditional calibration...
Time Factors Image Processing, Computer-Assisted Positron-Emission Tomography Calibration Machine Learning
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Machine learning models including preoperative and postoperative albumin-bilirubin score: short-term outcomes among patients with hepatocellular carcinoma.

HPB : the official journal of the International Hepato Pancreato Biliary Association Jul 25, 2024
BACKGROUND: We sought to assess the impact of various perioperative factors on the risk of severe complications and post-surgical mortality using a novel maching learning technique.
Humans Machine Learning Databases, Factual Retrospective Studies Female Treatment Outcome Risk Factors Predictive Value of Tests Time Factors Aged Serum Albumin, Human Bilirubin Male Hospital Mortality Hepatectomy Middle Aged Liver Neoplasms Serum Albumin Risk Assessment Carcinoma, Hepatocellular Postoperative Complications
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