Predictive Value of Tests

Deep learning to predict risk of lateral skull base cerebrospinal fluid leak or encephalocele.

International journal of computer assisted radiology and surgery Aug 29, 2024

PURPOSE: Skull base features, including increased foramen ovale (FO) cross-sectional area, are associated with lateral skull base spontaneous cerebrospinal fluid (sCSF) leak and encephalocele. Manual measurement requires skill in interpreting imaging...

Deep Learning Predictive Value of Tests Cerebrospinal Fluid Leak Skull Base Encephalocele Aged Adult Male Middle Aged Risk Assessment Humans Retrospective Studies Tomography, X-Ray Computed Female

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Prediction model for lateral lymph node metastasis of papillary thyroid carcinoma in children and adolescents based on ultrasound imaging and clinical features: a retrospective study.

BMC medical imaging Aug 29, 2024

BACKGROUND: The presence of lateral lymph node metastases (LNM) in paediatric patients with papillary thyroid cancer (PTC) is an independent risk factor for recurrence. We aimed to identify risk factors and establish a prediction model for lateral LN...

ROC Curve Male Area Under Curve Humans Risk Assessment Lymph Nodes Reference Values Retrospective Studies Lymphatic Metastasis Adolescent Thyroid Cancer, Papillary Regression Analysis Female Predictive Learning Models Thyroid Neoplasms Predictive Value of Tests Ultrasonography Risk Factors Young Adult

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Machine Learning Based on Clinical Information and Integrated CT Radiomics to Predict Local Recurrence of Stage Ia Lung Adenocarcinoma after Microwave Ablation.

Journal of vascular and interventional radiology : JVIR Aug 28, 2024

PURPOSE: To develop and compare 3 different machine learning-based models of clinical information and integrated radiomics features predicting the local recurrence of Stage Ia lung adenocarcinoma after microwave ablation (MWA) for assisting clinical ...

Ablation Techniques Risk Factors Aged Neoplasm Staging Radiomics Humans Radiographic Image Interpretation, Computer-Assisted Male Machine Learning Risk Assessment Decision Support Techniques Neoplasm Recurrence, Local Middle Aged Time Factors Retrospective Studies Microwaves Lung Neoplasms Tomography, X-Ray Computed Margins of Excision Treatment Outcome Clinical Decision-Making Adenocarcinoma of Lung Predictive Value of Tests Female

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Improved detection of small pulmonary embolism on unenhanced computed tomography using an artificial intelligence-based algorithm - a single centre retrospective study.

The international journal of cardiovascular imaging Aug 28, 2024

To preliminarily verify the feasibility of a deep-learning (DL) artificial intelligence (AI) model to localize pulmonary embolism (PE) on unenhanced chest-CT by comparison with pulmonary artery (PA) CT angiography (CTA). In a monocentric study, we re...

Incidental Findings Radiographic Image Interpretation, Computer-Assisted Feasibility Studies Pulmonary Embolism Algorithms Computed Tomography Angiography Retrospective Studies Pulmonary Artery Humans Female Reproducibility of Results Aged Aged, 80 and over Adult Male Middle Aged Deep Learning Predictive Value of Tests

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Electrocardiogram-Based Artificial Intelligence to Discriminate Cardioembolic Stroke and Stratify Risk of Atrial Fibrillation After Stroke.

Circulation. Arrhythmia and electrophysiology Aug 28, 2024

Aged Male Middle Aged Risk Assessment Electrocardiography Predictive Value of Tests Stroke Atrial Fibrillation Heart Rate Embolic Stroke Humans Artificial Intelligence Female Risk Factors

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Deep learning model for intravascular ultrasound image segmentation with temporal consistency.

The international journal of cardiovascular imaging Aug 27, 2024

This study was conducted to develop and validate a deep learning model for delineating intravascular ultrasound (IVUS) images of coronary arteries.Using a total of 1240 40-MHz IVUS pullbacks with 191,407 frames, the model for lumen and external elast...

Male Middle Aged Deep Learning Time Factors Predictive Value of Tests Prognosis Retrospective Studies Female Reproducibility of Results Aged Ultrasonography, Interventional Coronary Artery Disease Image Interpretation, Computer-Assisted Coronary Vessels Plaque, Atherosclerotic Humans

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Using Machine Learning to Predict Outcomes Following Transfemoral Carotid Artery Stenting.

Journal of the American Heart Association Aug 27, 2024

BACKGROUND: Transfemoral carotid artery stenting (TFCAS) carries important perioperative risks. Outcome prediction tools may help guide clinical decision-making but remain limited. We developed machine learning algorithms that predict 1-year stroke o...

Humans Machine Learning Databases, Factual Retrospective Studies Female Risk Factors Endovascular Procedures Femoral Artery Carotid Stenosis Time Factors Treatment Outcome Predictive Value of Tests Stroke Aged Stents Aged, 80 and over Male Middle Aged Risk Assessment

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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...

Ultrasonography Predictive Value of Tests Carcinoma, Papillary Postoperative Complications Deep Learning Humans Thyroid Gland Neural Networks, Computer Thyroidectomy Retrospective Studies Thyroid Neoplasms Female Reproducibility of Results Adult Male Middle Aged

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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 Artificial Intelligence Prognosis Retrospective Studies Female Aged Predictive Value of Tests Adult Neoplasm Recurrence, Local Male Tumor Burden Middle Aged Hepatectomy ROC Curve Neuroendocrine Tumors Liver Neoplasms

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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 Retrospective Studies Male Middle Aged Adolescent Predictive Value of Tests Radiography, Thoracic Pneumothorax Female Aged Aged, 80 and over Young Adult Adult

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AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Deep learning to predict risk of lateral skull base cerebrospinal fluid leak or encephalocele.

Prediction model for lateral lymph node metastasis of papillary thyroid carcinoma in children and adolescents based on ultrasound imaging and clinical features: a retrospective study.

Machine Learning Based on Clinical Information and Integrated CT Radiomics to Predict Local Recurrence of Stage Ia Lung Adenocarcinoma after Microwave Ablation.

Improved detection of small pulmonary embolism on unenhanced computed tomography using an artificial intelligence-based algorithm - a single centre retrospective study.

Electrocardiogram-Based Artificial Intelligence to Discriminate Cardioembolic Stroke and Stratify Risk of Atrial Fibrillation After Stroke.

Deep learning model for intravascular ultrasound image segmentation with temporal consistency.

Using Machine Learning to Predict Outcomes Following Transfemoral Carotid Artery Stenting.

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

Development of an artificial intelligence-based model to predict early recurrence of neuroendocrine liver metastasis after resection.

Factors for increasing positive predictive value of pneumothorax detection on chest radiographs using artificial intelligence.

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