AIMC Topic: Predictive Value of Tests

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Artificial neural network prediction of postoperative complications in papillary thyroid microcarcinoma based on preoperative ultrasonographic features.

Journal of clinical ultrasound : JCU Aug 27, 2024
OBJECTIVE: To predict post-thyroidectomy complications in papillary thyroid microcarcinoma (PTMC) patients using a deep learning model based on preoperative ultrasonographic features. This study addresses the global rise in PTMC incidence and the cha...
Postoperative Complications Deep Learning Thyroid Gland Thyroidectomy Thyroid Neoplasms Ultrasonography Predictive Value of Tests Carcinoma, Papillary Female Reproducibility of Results Adult Male Middle Aged Humans Neural Networks, Computer Retrospective Studies
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Development of an artificial intelligence-based model to predict early recurrence of neuroendocrine liver metastasis after resection.

Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract Aug 26, 2024
PURPOSE: We sought to develop an artificial intelligence (AI)-based model to predict early recurrence (ER) after curative-intent resection of neuroendocrine liver metastases (NELMs).
Humans Neuroendocrine Tumors Artificial Intelligence Prognosis Retrospective Studies Female Liver Neoplasms Aged Predictive Value of Tests Adult Neoplasm Recurrence, Local Male Tumor Burden Middle Aged Hepatectomy ROC Curve
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Factors for increasing positive predictive value of pneumothorax detection on chest radiographs using artificial intelligence.

Scientific reports Aug 23, 2024
This study evaluated the positive predictive value (PPV) of artificial intelligence (AI) in detecting pneumothorax on chest radiographs (CXRs) and its affecting factors. Patients determined to have pneumothorax on CXR by a commercial AI software from...
Humans Artificial Intelligence Radiography, Thoracic Pneumothorax Adult Male Middle Aged Retrospective Studies Adolescent Female Predictive Value of Tests Aged Aged, 80 and over Young Adult
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Thy-DAMP: deep artificial neural network model for prediction of thyroid cancer mortality.

European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery Aug 22, 2024
PURPOSE: Despite the rising incidence of differentiated thyroid cancer (DTC), mortality rates have remained relatively low yet crucial for effective patient management. This study aims to develop a deep neural network capable of predicting mortality ...
SEER Program Humans Neural Networks, Computer Prognosis Thyroid Neoplasms Female United States Aged Predictive Value of Tests Adult Male Neoplasm Staging Middle Aged
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Role of Artificial Intelligence and Machine Learning to Create Predictors, Enhance Molecular Understanding, and Implement Purposeful Programs for Myocardial Recovery.

Methodist DeBakey cardiovascular journal Aug 20, 2024
Heart failure (HF) affects millions of individuals and causes hundreds of thousands of deaths each year in the United States. Despite the public health burden, medical and device therapies for HF significantly improve clinical outcomes and, in a subs...
Treatment Outcome Humans Recovery of Function Artificial Intelligence Predictive Value of Tests Machine Learning Heart Failure Precision Medicine
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Development and internal validation of an artificial intelligence-assisted bowel sounds auscultation system to predict early enteral nutrition-associated diarrhoea in acute pancreatitis: a prospective observational study.

British journal of hospital medicine (London, England : 2005) Aug 19, 2024
An artificial intelligence-assisted prediction model for enteral nutrition-associated diarrhoea (ENAD) in acute pancreatitis (AP) was developed utilising data obtained from bowel sounds auscultation. This model underwent validation through a single-...
Predictive Value of Tests Artificial Intelligence Enteral Nutrition Humans Prospective Studies Pancreatitis Female Auscultation Risk Factors Aged Adult Male Middle Aged Diarrhea ROC Curve
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Development of machine learning-based personalized predictive models for risk evaluation of hepatocellular carcinoma in hepatitis B virus-related cirrhosis patients with low levels of serum alpha-fetoprotein.

Annals of hepatology Aug 15, 2024
INTRODUCTION AND OBJECTIVES: The increasing incidence of hepatocellular carcinoma (HCC) in China is an urgent issue, necessitating early diagnosis and treatment. This study aimed to develop personalized predictive models by combining machine learning...
Liver Cirrhosis Aged Nomograms Adult Predictive Value of Tests Biomarkers, Tumor alpha-Fetoproteins Male Hepatitis B, Chronic Humans Middle Aged Machine Learning Risk Assessment Retrospective Studies China Female Liver Neoplasms Risk Factors Carcinoma, Hepatocellular Hepatitis B
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Definition and Validation of Prognostic Phenotypes in Moderate Aortic Stenosis.

JACC. Cardiovascular imaging Aug 14, 2024
BACKGROUND: Adverse outcomes from moderate aortic stenosis (AS) may be caused by progression to severe AS or by the effects of comorbidities. In the absence of randomized trial evidence favoring aortic valve replacement (AVR) in patients with moderat...
Unsupervised Machine Learning Predictive Value of Tests Heart Failure Time Factors Cluster Analysis Aortic Valve Stenosis Aortic Valve Reproducibility of Results Risk Factors Aged Aged, 80 and over Male Echocardiography Middle Aged Risk Assessment Comorbidity Severity of Illness Index Humans Phenotype Prognosis Female
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An Automated Machine Learning-Based Quantitative Multiparametric Approach for Mitral Regurgitation Severity Grading.

JACC. Cardiovascular imaging Aug 14, 2024
BACKGROUND: Considering the high prevalence of mitral regurgitation (MR) and the highly subjective, variable MR severity reporting, an automated tool that could screen patients for clinically significant MR (≥ moderate) would streamline the diagnosti...
Humans Machine Learning Middle Aged Severity of Illness Index Predictive Value of Tests Workflow Feasibility Studies Prognosis Female Reproducibility of Results Aged Male Mitral Valve Mitral Valve Insufficiency Image Interpretation, Computer-Assisted Automation
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Artificial intelligence-driven electrocardiography: Innovations in hypertrophic cardiomyopathy management.

Trends in cardiovascular medicine Aug 13, 2024
Hypertrophic Cardiomyopathy (HCM) presents a complex diagnostic and prognostic challenge due to its heterogeneous phenotype and clinical course. Artificial Intelligence (AI) and Machine Learning (ML) techniques hold promise in transforming the role o...
Humans Artificial Intelligence Prognosis Clinical Decision-Making Risk Factors Predictive Value of Tests Risk Assessment Signal Processing, Computer-Assisted Diagnosis, Computer-Assisted Heart Rate Deep Learning Cardiomyopathy, Hypertrophic Electrocardiography Death, Sudden, Cardiac Action Potentials
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