AIMC Topic: Retrospective Studies

Clear Filters Showing 801 to 810 of 9179 articles

Noninvasive identification of HER2 status by integrating multiparametric MRI-based radiomics model with the vesical imaging-reporting and data system (VI-RADS) score in bladder urothelial carcinoma.

Abdominal radiology (New York) Jan 9, 2025
PURPOSE: HER2 expression is crucial for the application of HER2-targeted antibody-drug conjugates. This study aims to construct a predictive model by integrating multiparametric magnetic resonance imaging (mpMRI) based multimodal radiomics and the Ve...
Radiomics Male Middle Aged Urinary Bladder Neoplasms Receptor, ErbB-2 Humans Retrospective Studies Female Aged Aged, 80 and over Carcinoma, Transitional Cell Radiology Information Systems Multiparametric Magnetic Resonance Imaging
View on PubMed DOI

Risk prediction for elderly cognitive impairment by radiomic and morphological quantification analysis based on a cerebral MRA imaging cohort.

European radiology Jan 9, 2025
OBJECTIVE: To establish morphological and radiomic models for early prediction of cognitive impairment associated with cerebrovascular disease (CI-CVD) in an elderly cohort based on cerebral magnetic resonance angiography (MRA).
Radiomics Male Risk Assessment Cognitive Dysfunction Cohort Studies Retrospective Studies Predictive Value of Tests Female Humans Cerebrovascular Disorders Risk Factors Magnetic Resonance Angiography Aged Aged, 80 and over
View on PubMed DOI

Machine Learning Algorithms in Controlled Donation After Circulatory Death Under Normothermic Regional Perfusion: A Graft Survival Prediction Model.

Transplantation Jan 9, 2025
BACKGROUND: Several scores have been developed to stratify the risk of graft loss in controlled donation after circulatory death (cDCD). However, their performance is unsatisfactory in the Spanish population, where most cDCD livers are recovered usin...
Female Risk Factors Aged Adult Male Machine Learning Algorithms Decision Support Techniques Humans Retrospective Studies Treatment Outcome Predictive Value of Tests Liver Transplantation Perfusion Spain Middle Aged Risk Assessment Time Factors Tissue Donors Graft Survival
View on PubMed DOI

Interpretable CT Radiomics-based Machine Learning Model for Preoperative Prediction of Ki-67 Expression in Clear Cell Renal Cell Carcinoma.

Academic radiology Jan 9, 2025
RATIONALE AND OBJECTIVES: To develop and externally validate interpretable CT radiomics-based machine learning (ML) models for preoperative Ki-67 expression prediction in clear cell renal cell carcinoma (ccRCC).
Adult Radiomics Male Middle Aged Radiographic Image Interpretation, Computer-Assisted Kidney Neoplasms Carcinoma, Renal Cell Ki-67 Antigen Machine Learning Retrospective Studies Tomography, X-Ray Computed Humans Female Aged
View on PubMed DOI

Machine learning models provide modest accuracy in predicting clinical impact of porcine reproductive and respiratory syndrome type 2 in Canadian sow herds.

American journal of veterinary research Jan 9, 2025
OBJECTIVE: To determine the predictive potential of the open reading frame 5 nucleotide sequence of porcine reproductive and respiratory syndrome (PRRS) virus and the basic demographic data on the severity of the impact on selected production paramet...
Swine Ontario Longitudinal Studies Porcine Reproductive and Respiratory Syndrome Porcine respiratory and reproductive syndrome virus Retrospective Studies Female Animals Disease Outbreaks Machine Learning
View on PubMed DOI

Evaluation of machine learning models for predicting xerostomia in adults with head and neck cancer during proton and heavy ion radiotherapy.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Jan 9, 2025
BACKGROUND AND PURPOSE: Few studies have examined the factors associated with xerostomia during proton and carbon ion radiotherapy for head and neck cancer (HNC), which are reported to have fewer toxic effects compared to traditional photon-based rad...
Middle Aged Aged Humans Xerostomia Adolescent Aged, 80 and over Machine Learning Heavy Ion Radiotherapy Head and Neck Neoplasms Young Adult Retrospective Studies Proton Therapy Adult Female Male
View on PubMed DOI

Automated stenosis estimation of coronary angiographies using end-to-end learning.

The international journal of cardiovascular imaging Jan 9, 2025
The initial evaluation of stenosis during coronary angiography is typically performed by visual assessment. Visual assessment has limited accuracy compared to fractional flow reserve and quantitative coronary angiography, which are more time-consumin...
Humans Retrospective Studies Female Reproducibility of Results Aged Male Middle Aged Severity of Illness Index Coronary Artery Disease Deep Learning Automation Predictive Value of Tests Coronary Vessels Coronary Angiography Coronary Stenosis Radiographic Image Interpretation, Computer-Assisted Fractional Flow Reserve, Myocardial
View on PubMed DOI

Prediction of Aneurysm Sac Shrinkage After Endovascular Aortic Repair Using Machine Learning-Based Decision Tree Analysis.

The Journal of surgical research Jan 9, 2025
INTRODUCTION: A simple risk stratification model to predict aneurysm sac shrinkagein patients undergoing endovascular aortic repair (EVAR) for abdominal aortic aneurysms (AAA) was developed using machine learning-based decision tree analysis.
Endoleak Male Humans Aortic Aneurysm, Abdominal Female Endovascular Aneurysm Repair Middle Aged Machine Learning Pulse Wave Analysis Risk Factors Risk Assessment Retrospective Studies Smoking Aged Treatment Outcome Endovascular Procedures Decision Trees Aged, 80 and over
View on PubMed DOI

Deep learning model for automatic detection of different types of microaneurysms in diabetic retinopathy.

Eye (London, England) Jan 9, 2025
PURPOSE: This study aims to develop a deep-learning-based software capable of detecting and differentiating microaneurysms (MAs) as hyporeflective or hyperreflective on structural optical coherence tomography (OCT) images in patients with non-prolife...
Tomography, Optical Coherence Retinal Vessels Microaneurysm Humans Diabetic Retinopathy Retrospective Studies Female Aged Male Middle Aged Deep Learning ROC Curve Area Under Curve
View on PubMed DOI

Development and external validation of a machine learning model for brain injury in pediatric patients on extracorporeal membrane oxygenation.

Critical care (London, England) Jan 9, 2025
BACKGROUND: Patients supported by extracorporeal membrane oxygenation (ECMO) are at a high risk of brain injury, contributing to significant morbidity and mortality. This study aimed to employ machine learning (ML) techniques to predict brain injury ...
Extracorporeal Membrane Oxygenation Humans Machine Learning Retrospective Studies Adolescent Cohort Studies Female Child, Preschool Male Child Infant Brain Injuries China
View on PubMed DOI
Popular Topics
Recent Journals