AIMC Topic: Predictive Value of Tests

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Robot-Assisted CT-Guided Biopsy with an Artificial Intelligence-Based Needle-Path Generator: An Experimental Evaluation Using a Phantom Model.

Journal of vascular and interventional radiology : JVIR Jan 21, 2025
PURPOSE: To investigate the feasibility of a robotic system with artificial intelligence-based lesion detection and path planning for computed tomography (CT)-guided biopsy compared with the conventional freehand technique.
Artificial Intelligence Tomography, X-Ray Computed Predictive Value of Tests Robotics Equipment Design Humans Robotic Surgical Procedures Image-Guided Biopsy Radiographic Image Interpretation, Computer-Assisted Phantoms, Imaging Feasibility Studies Needles Radiography, Interventional
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Deep Learning-Enabled Assessment of Right Ventricular Function Improves Prognostication After Transcatheter Edge-to-Edge Repair for Mitral Regurgitation.

Circulation. Cardiovascular imaging Jan 21, 2025
BACKGROUND: Right ventricular (RV) function has a well-established prognostic role in patients with severe mitral regurgitation (MR) undergoing transcatheter edge-to-edge repair (TEER) and is typically assessed using echocardiography-measured tricusp...
Mitral Valve Mitral Valve Insufficiency Cardiac Catheterization Ventricular Function, Right Humans Echocardiography Prognosis Severity of Illness Index Female Deep Learning Predictive Value of Tests Registries Aged Aged, 80 and over Male Stroke Volume
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Predicting postoperative adhesive small bowel obstruction in infants under 3 months with intestinal malrotation: a random forest approach.

Jornal de pediatria Jan 21, 2025
OBJECTIVE: This study aimed to develop a predictive model using a random forest algorithm to determine the likelihood of postoperative adhesive small bowel obstruction (ASBO) in infants under 3 months with intestinal malrotation.
Humans Risk Factors Sensitivity and Specificity Male Postoperative Complications Infant Machine Learning Algorithms Retrospective Studies Female Infant, Newborn Intestinal Obstruction ROC Curve Intestine, Small Predictive Value of Tests Intestinal Volvulus Tissue Adhesions Random Forest
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A Machine Learning Model for Predicting the HER2 Positive Expression of Breast Cancer Based on Clinicopathological and Imaging Features.

Academic radiology Jan 20, 2025
RATIONALE AND OBJECTIVES: To develop a machine learning (ML) model based on clinicopathological and imaging features to predict the Human Epidermal Growth Factor Receptor 2 (HER2) positive expression (HER2-p) of breast cancer (BC), and to compare its...
Humans Neural Networks, Computer Machine Learning Prospective Studies Middle Aged Magnetic Resonance Imaging Mammography Predictive Value of Tests Receptor, ErbB-2 Retrospective Studies Female Aged Adult Breast Neoplasms
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Challenges in standardizing preimplantation kidney biopsy assessments and the potential of AI-Driven solutions.

Current opinion in nephrology and hypertension Jan 20, 2025
PURPOSE OF REVIEW: This review explores the variability in preimplantation kidney biopsy processing methods, emphasizing their impact on histological interpretation and allocation decisions driven by biopsy findings. With the increasing use of artifi...
Humans Predictive Value of Tests Artificial Intelligence Biopsy Kidney Transplantation Blastocyst Reproducibility of Results Image Interpretation, Computer-Assisted Kidney
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Assessing the Clinical and Functional Status of COPD Patients Using Speech Analysis During and After Exacerbation.

International journal of chronic obstructive pulmonary disease Jan 20, 2025
BACKGROUND: Chronic obstructive pulmonary disease (COPD) affects breathing, speech production, and coughing. We evaluated a machine learning analysis of speech for classifying the disease severity of COPD.
Speech Acoustics Disease Progression Speech Production Measurement Time Factors Lung Humans Voice Quality Reproducibility of Results Support Vector Machine Severity of Illness Index Aged Predictive Value of Tests Pulmonary Disease, Chronic Obstructive Functional Status Speech Prospective Studies Male Respiratory Function Tests Prognosis Middle Aged Female
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Early Prediction of Cardio Vascular Disease (CVD) from Diabetic Retinopathy using improvised deep Belief Network (I-DBN) with Optimum feature selection technique.

BMC cardiovascular disorders Jan 18, 2025
Cardio Vascular Disease (CVD) is one of the leading causes of mortality and it is estimated that 1 in 4 deaths happens due to it. The disease prevalence rate becomes higher since there is an inadequate system/model for predicting CVD at an earliest. ...
Reproducibility of Results Risk Factors Male Humans Cardiovascular Diseases Risk Assessment Diabetic Retinopathy Middle Aged Deep Learning Decision Support Techniques Predictive Value of Tests Prognosis Early Diagnosis Female
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Enhancing Small-for-Gestational-Age Prediction: Multi-Country Validation of Nuchal Thickness, Estimated Fetal Weight, and Machine Learning Models.

Prenatal diagnosis Jan 16, 2025
OBJECTIVE: The first objective is to develop a nuchal thickness reference chart. The second objective is to compare rule-based algorithms and machine learning models in predicting small-for-gestational-age infants.
Singapore Fetal Weight Infant, Small for Gestational Age Infant, Newborn Adult Ultrasonography, Prenatal Malaysia Predictive Value of Tests Machine Learning Retrospective Studies Pregnancy Female Humans
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Comparative analysis of kidney function prediction: traditional statistical methods vs. deep learning techniques.

Clinical and experimental nephrology Jan 15, 2025
BACKGROUND: Chronic kidney disease (CKD) represents a significant public health challenge, with rates consistently on the rise. Enhancing kidney function prediction could contribute to the early detection, prevention, and management of CKD in clinica...
Linear Models Longitudinal Studies Predictive Value of Tests Registries Japan Prospective Studies Female Aged Male Humans Middle Aged Databases, Factual Deep Learning Kidney Renal Insufficiency, Chronic Glomerular Filtration Rate
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Deep learning of noncontrast CT for fast prediction of hemorrhagic transformation of acute ischemic stroke: a multicenter study.

European radiology experimental Jan 15, 2025
BACKGROUND: Hemorrhagic transformation (HT) is a complication of reperfusion therapy following acute ischemic stroke (AIS). We aimed to develop and validate a model for predicting HT and its subtypes with poor prognosis-parenchymal hemorrhage (PH), i...
Cerebral Hemorrhage Predictive Value of Tests Ischemic Stroke Thrombolytic Therapy Aged, 80 and over Male Middle Aged Deep Learning Humans Prognosis Retrospective Studies Tomography, X-Ray Computed Female Aged
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