AIMC Topic: Predictive Value of Tests
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[Artificial intelligence: to a better predictive strategy for testicular sperm extraction outcome in azoospermia].
Annales de biologie clinique
Jun 5, 2024
Azoospermia, defined as the absence of sperm in the semen, is found in 10-15 % of infertile patients. Two-thirds of these cases are caused by impaired spermatogenesis, known as non-obstructive azoospermia (NOA). In this context, surgical sperm extrac...
Revolutionizing aortic aneurysm assessment with artificial intelligence.
Journal of vascular surgery
Jun 1, 2024
Validation of a machine learning algorithm to identify pulmonary vein isolation during ablation procedures for the treatment of atrial fibrillation: results of the PVISION study.
Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology
May 2, 2024
AIMS: Pulmonary vein isolation (PVI) is the cornerstone of ablation for atrial fibrillation. Confirmation of PVI can be challenging due to the presence of far-field electrograms (EGMs) and sometimes requires additional pacing manoeuvres or mapping. T...
Algorithms
Prospective Studies
Female
Reproducibility of Results
Humans
Machine Learning
Action Potentials
Predictive Value of Tests
Signal Processing, Computer-Assisted
Atrial Fibrillation
Heart Rate
Aged
Male
Middle Aged
Treatment Outcome
Catheter Ablation
Pulmonary Veins
Electrophysiologic Techniques, Cardiac
Introducing a machine learning algorithm for delirium prediction-the Supporting SURgery with GEriatric Co-Management and AI project (SURGE-Ahead).
Age and ageing
May 1, 2024
INTRODUCTION: Post-operative delirium (POD) is a common complication in older patients, with an incidence of 14-56%. To implement preventative procedures, it is necessary to identify patients at risk for POD. In the present study, we aimed to develop...
Establishment and validation of multiclassification prediction models for pulmonary nodules based on machine learning.
The clinical respiratory journal
May 1, 2024
BACKGROUND: Lung cancer is the leading cause of cancer-related death worldwide. This study aimed to establish novel multiclassification prediction models based on machine learning (ML) to predict the probability of malignancy in pulmonary nodules (PN...
Inflammation indexes and machine-learning algorithm in predicting urethroplasty success.
Investigative and clinical urology
May 1, 2024
PURPOSE: To assess the predictive capability of hematological inflammatory markers for urethral stricture recurrence after primary urethroplasty and to compare traditional statistical methods with a machine-learning-based artificial intelligence algo...
Deep Learning Classification of Usual Interstitial Pneumonia Predicts Outcomes.
American journal of respiratory and critical care medicine
May 1, 2024
Computed tomography (CT) enables noninvasive diagnosis of usual interstitial pneumonia (UIP), but enhanced image analyses are needed to overcome the limitations of visual assessment. Apply multiple instance learning (MIL) to develop an explainable ...
Computed tomography-based radiomics to predict early recurrence of hepatocellular carcinoma post-hepatectomy in patients background on cirrhosis.
World journal of gastroenterology
Apr 21, 2024
BACKGROUND: The prognosis for hepatocellular carcinoma (HCC) in the presence of cirrhosis is unfavourable, primarily attributable to the high incidence of recurrence.
Hepatectomy
Kaplan-Meier Estimate
Liver Cirrhosis
Tomography, X-Ray Computed
Liver
Female
Predictive Value of Tests
Risk Factors
Neoplasm Recurrence, Local
Aged
Humans
Risk Assessment
Machine Learning
Adult
Prognosis
Radiomics
ROC Curve
Retrospective Studies
Male
Liver Neoplasms
Middle Aged
Carcinoma, Hepatocellular
Automating the Detection of IV Fluid Contamination Using Unsupervised Machine Learning.
Clinical chemistry
Feb 7, 2024
BACKGROUND: Intravenous (IV) fluid contamination is a common cause of preanalytical error that can delay or misguide treatment decisions, leading to patient harm. Current approaches for detecting contamination rely on delta checks, which require a pr...
Enhancing coronary artery plaque analysis via artificial intelligence-driven cardiovascular computed tomography.
Therapeutic advances in cardiovascular disease
Jan 1, 2024
Coronary computed tomography angiography (CCTA) is a noninvasive imaging modality of cardiac structures and vasculature considered comparable to invasive coronary angiography for the evaluation of coronary artery disease (CAD) in several major cardio...
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