Predictive Value of Tests - AI Medical Compendium

Prediction of post-donation renal function using machine learning techniques and conventional regression models in living kidney donors.

Journal of nephrology Jul 29, 2024

BACKGROUND: Accurate prediction of renal function following kidney donation and careful selection of living donors are essential for living-kidney donation programs. We aimed to develop a prediction model for post-donation renal function following li...

Humans Machine Learning Middle Aged Kidney Transplantation Nephrectomy Kidney Retrospective Studies Glomerular Filtration Rate Female Predictive Value of Tests Adult Living Donors Male Creatinine

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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...

Deep Learning Observer Variation Adult Humans Time Factors Magnetic Resonance Imaging, Cine Male Prospective Studies Ventricular Function, Right Predictive Value of Tests Ventricular Function, Left Female Heart Ventricles Stroke Volume Reproducibility of Results Image Interpretation, Computer-Assisted Middle Aged Aged

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Deep learning model based on contrast-enhanced ultrasound for predicting vessels encapsulating tumor clusters in hepatocellular carcinoma.

European radiology Jul 27, 2024

OBJECTIVES: To establish and validate a non-invasive deep learning (DL) model based on contrast-enhanced ultrasound (CEUS) to predict vessels encapsulating tumor clusters (VETC) patterns in hepatocellular carcinoma (HCC).

Carcinoma, Hepatocellular Contrast Media Humans Predictive Value of Tests Retrospective Studies Female Aged Adult Male Middle Aged Deep Learning Ultrasonography Liver Neoplasms

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Reduced response to regadenoson with increased weight: An artificial intelligence-based quantitative myocardial perfusion study.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Jul 25, 2024

BACKGROUND: There is conflicting evidence regarding the response to a fixed dose of regadenoson in patients with high body weight. The aim of this study was to evaluate the effectiveness of regadenoson in patients with varying body weights using nove...

Case-Control Studies Logistic Models Obesity Predictive Value of Tests Coronary Artery Disease Female Risk Factors Humans Aged Artificial Intelligence Coronary Circulation Male Body Weight Algorithms Middle Aged Myocardial Perfusion Imaging Image Interpretation, Computer-Assisted Adenosine Pyrazoles Adenosine A2 Receptor Agonists Vasodilator Agents Purines

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Deep Learning Model Using Stool Pictures for Predicting Endoscopic Mucosal Inflammation in Patients With Ulcerative Colitis.

The American journal of gastroenterology Jul 25, 2024

INTRODUCTION: Stool characteristics may change depending on the endoscopic activity of ulcerative colitis (UC). We developed a deep learning model using stool photographs of patients with UC (DLSUC) to predict endoscopic mucosal inflammation.

Prospective Studies Female Aged Adult Male Middle Aged Humans Colonoscopy Colitis, Ulcerative Severity of Illness Index Intestinal Mucosa Deep Learning Predictive Value of Tests Feces Leukocyte L1 Antigen Complex ROC Curve Photography

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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.

Hospital Mortality Liver Neoplasms Carcinoma, Hepatocellular Treatment Outcome Predictive Value of Tests Bilirubin Hepatectomy Serum Albumin, Human Serum Albumin Male Middle Aged Risk Assessment Postoperative Complications Time Factors Databases, Factual Retrospective Studies Female Risk Factors Aged Humans Machine Learning

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Development and Validation of an Explainable Machine Learning Model for Identification of Hyper-Functioning Parathyroid Glands from High-Frequency Ultrasonographic Images.

Ultrasound in medicine & biology Jul 25, 2024

OBJECTIVE: To develop and validate a machine learning (ML) model based on high-frequency ultrasound (HFUS) images with the aim to identify the functional status of parathyroid glands (PTGs) in secondary hyper-parathyroidism (SHPT) patients.

Male Middle Aged Ultrasonography Models, Statistical Predictive Value of Tests Humans Machine Learning Computer Simulation Female Adult Random Forest Parathyroid Glands Tomography, Emission-Computed, Single-Photon Parathyroid Diseases

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An artificial intelligence-enabled electrocardiogram algorithm for the prediction of left atrial low-voltage areas in persistent atrial fibrillation.

Journal of cardiovascular electrophysiology Jul 25, 2024

OBJECTIVES: We aimed to construct an artificial intelligence-enabled electrocardiogram (ECG) algorithm that can accurately predict the presence of left atrial low-voltage areas (LVAs) in patients with persistent atrial fibrillation.

Middle Aged Deep Learning Electrocardiography Action Potentials Predictive Value of Tests Retrospective Studies Signal Processing, Computer-Assisted Female Atrial Fibrillation Reproducibility of Results Heart Atria Aged Heart Rate Male Catheter Ablation Atrial Function, Left Humans Algorithms

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Artificial intelligence-derived left ventricular strain in echocardiography in patients treated with chemotherapy.

The international journal of cardiovascular imaging Jul 23, 2024

Global longitudinal strain (GLS) is an echocardiographic measure to detect chemotherapy-related cardiovascular dysfunction. However, its limited availability and the needed expertise may restrict its generalization. Artificial intelligence (AI)-based...

Reproducibility of Results Aged Aged, 80 and over Male Heart Ventricles Ventricular Function, Left Echocardiography Humans Ventricular Remodeling Stroke Volume Middle Aged Ventricular Dysfunction, Left Artificial Intelligence Neoplasms Image Interpretation, Computer-Assisted Retrospective Studies Antineoplastic Agents Female Observer Variation Predictive Value of Tests Cardiotoxicity

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Development and Validation of a Biparametric MRI Deep Learning Radiomics Model with Clinical Characteristics for Predicting Perineural Invasion in Patients with Prostate Cancer.

Academic radiology Jul 22, 2024

RATIONALE AND OBJECTIVES: Perineural invasion (PNI) is an important prognostic biomarker for prostate cancer (PCa). This study aimed to develop and validate a predictive model integrating biparametric MRI-based deep learning radiomics and clinical ch...

Humans Prospective Studies Middle Aged Prostatectomy Aged Deep Learning Radiomics Magnetic Resonance Imaging Male Neoplasm Invasiveness Predictive Value of Tests Prostatic Neoplasms

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AIMC Topic: Predictive Value of Tests

Prediction of post-donation renal function using machine learning techniques and conventional regression models in living kidney donors.

Clinical utility of a rapid two-dimensional balanced steady-state free precession sequence with deep learning reconstruction.

Deep learning model based on contrast-enhanced ultrasound for predicting vessels encapsulating tumor clusters in hepatocellular carcinoma.

Reduced response to regadenoson with increased weight: An artificial intelligence-based quantitative myocardial perfusion study.

Deep Learning Model Using Stool Pictures for Predicting Endoscopic Mucosal Inflammation in Patients With Ulcerative Colitis.

Machine learning models including preoperative and postoperative albumin-bilirubin score: short-term outcomes among patients with hepatocellular carcinoma.

Development and Validation of an Explainable Machine Learning Model for Identification of Hyper-Functioning Parathyroid Glands from High-Frequency Ultrasonographic Images.

An artificial intelligence-enabled electrocardiogram algorithm for the prediction of left atrial low-voltage areas in persistent atrial fibrillation.

Artificial intelligence-derived left ventricular strain in echocardiography in patients treated with chemotherapy.

Development and Validation of a Biparametric MRI Deep Learning Radiomics Model with Clinical Characteristics for Predicting Perineural Invasion in Patients with Prostate Cancer.

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