AIMC Topic: Recurrence

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Engineering of Generative Artificial Intelligence and Natural Language Processing Models to Accurately Identify Arrhythmia Recurrence.

Circulation. Arrhythmia and electrophysiology Dec 16, 2024
BACKGROUND: Large language models (LLMs) such as Chat Generative Pre-trained Transformer (ChatGPT) excel at interpreting unstructured data from public sources, yet are limited when responding to queries on private repositories, such as electronic hea...
Arrhythmias, Cardiac Recurrence Humans Artificial Intelligence Electronic Health Records Generative Artificial Intelligence Predictive Value of Tests Natural Language Processing Female Male
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Utility of a Large Language Model for Extraction of Clinical Findings from Healthcare Data following Lung Ablation: A Feasibility Study.

Journal of vascular and interventional radiology : JVIR Dec 9, 2024
To assess the feasibility of utilizing a large language model (LLM) in extracting clinically relevant information from healthcare data in patients who have undergone microwave ablation for lung tumors. In this single-center retrospective study, radio...
Electronic Health Records Female Reproducibility of Results Aged Male Humans Retrospective Studies Predictive Value of Tests Natural Language Processing Feasibility Studies Neoplasm Recurrence, Local Data Mining Middle Aged Time Factors Lung Neoplasms Treatment Outcome Ablation Techniques Pneumothorax Hemoptysis Microwaves Recurrence Large Language Models Hemothorax
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Deep learning-based segmentation of acute ischemic stroke MRI lesions and recurrence prediction within 1 year after discharge: A multicenter study.

Neuroscience Dec 2, 2024
OBJECTIVE: To explore the performance of deep learning-based segmentation of infarcted lesions in the brain magnetic resonance imaging (MRI) of patients with acute ischemic stroke (AIS) and the recurrence prediction value of radiomics within 1 year a...
Recurrence Brain Female Aged Male Magnetic Resonance Imaging Ischemic Stroke Brain Ischemia Middle Aged Deep Learning Humans
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Left Atrial Wall Thickness Measured by a Machine Learning Method Predicts AF Recurrence After Pulmonary Vein Isolation.

Journal of cardiovascular electrophysiology Nov 29, 2024
BACKGROUND: Left atrial (LA) remodeling plays a significant role in the progression of atrial fibrillation (AF). Although LA wall thickness (LAWT) has emerged as an indicator of structural remodeling, its impact on AF outcomes remains unclear. We aim...
Heart Rate Catheter Ablation Recurrence Atrial Function, Left Pulmonary Veins Atrial Remodeling Registries Fibrosis Atrial Fibrillation Heart Atria Risk Factors Time Factors Treatment Outcome Aged Action Potentials Male Predictive Value of Tests Middle Aged Risk Assessment Humans Machine Learning Retrospective Studies Female
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An interpretable machine learning scoring tool for estimating time to recurrence readmissions in stroke patients.

International journal of medical informatics Nov 16, 2024
BACKGROUND: Stroke recurrence readmission poses an additional burden on both patients and healthcare systems. Risk stratification aims to accurately divide patients into groups to provide targeted interventions at reducing readmission. To accurately ...
Middle Aged Risk Assessment China Humans Time Factors Machine Learning Stroke Retrospective Studies Female Aged Aged, 80 and over Male Patient Readmission Recurrence
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The performance of machine learning for predicting the recurrent stroke: a systematic review and meta-analysis on 24,350 patients.

Acta neurologica Belgica Nov 7, 2024
BACKGROUND: Stroke is a leading cause of death and disability worldwide. Approximately one-third of patients with stroke experienced a second stroke. This study investigates the predictive value of machine learning (ML) algorithms for recurrent strok...
Humans Machine Learning Predictive Value of Tests Stroke Recurrence
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Association Between Body Composition Measured by Artificial Intelligence and Long-Term Sequelae After Acute Pancreatitis.

Digestive diseases and sciences Oct 22, 2024
BACKGROUND/OBJECTIVES: The clinical utility of body composition in the development of complications of acute pancreatitis (AP) remains unclear. We aimed to describe the associations between body composition and the recurrence of AP.
Pancreatitis, Chronic Acute Disease Body Composition Recurrence Pancreatitis Adult Male Middle Aged Diabetes Mellitus Humans Artificial Intelligence Female Risk Factors Aged Retrospective Studies Tomography, X-Ray Computed
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Rapid diagnosis and recurrence prediction of choledocholithiasis disease using raw bile with machine learning assisted SERS.

Talanta Oct 9, 2024
Surface-enhanced Raman spectroscopy (SERS) analysis based on body fluids has been widely applied in disease diagnose. Choledocholithiasis is a widespread and often recurrent digestive system disease, with limited data on factors predicting its format...
Aged Male Middle Aged Spectrum Analysis, Raman Support Vector Machine Humans Machine Learning Female Principal Component Analysis Choledocholithiasis Recurrence Bile
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Methodology and development of a machine learning probability calculator: Data heterogeneity limits ability to predict recurrence after arthroscopic Bankart repair.

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA Sep 26, 2024
PURPOSE: The aim of this study was to develop and train a machine learning (ML) algorithm to create a clinical decision support tool (i.e., ML-driven probability calculator) to be used in clinical practice to estimate recurrence rates following an ar...
Arthroscopy Recurrence Joint Instability Shoulder Dislocation Bankart Lesions Female Risk Factors Adult Male Humans Machine Learning Algorithms Retrospective Studies
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Machine learning-based evaluation of prognostic factors for mortality and relapse in patients with acute lymphoblastic leukemia: a comparative simulation study.

BMC medical informatics and decision making Sep 16, 2024
BACKGROUND: Predicting mortality and relapse in children with acute lymphoblastic leukemia (ALL) is crucial for effective treatment and follow-up management. ALL is a common and deadly childhood cancer that often relapses after remission. In this stu...
Child, Preschool Child Precursor Cell Lymphoblastic Leukemia-Lymphoma Recurrence Machine Learning Female Humans Prognosis Male Retrospective Studies Infant Adolescent
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