AIMC Topic: Prospective Studies

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Machine Learning-Based Radiomics in Malignancy Prediction of Pancreatic Cystic Lesions: Evidence from Cyst Fluid Multi-Omics.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Apr 28, 2025
The malignant potential of pancreatic cystic lesions (PCLs) varies dramatically, leading to difficulties when making clinical decisions. This study aimed to develop noninvasive clinical-radiomic models using preoperative CT images to predict the mali...
Retrospective Studies Pancreatic Neoplasms Tomography, X-Ray Computed Pancreatic Cyst Female Aged Cyst Fluid Adult Radiomics Male Middle Aged Multiomics Proteomics Humans Machine Learning Prospective Studies
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Explainable Machine Learning Model for Predicting Persistent Sepsis-Associated Acute Kidney Injury: Development and Validation Study.

Journal of medical Internet research Apr 28, 2025
BACKGROUND: Persistent sepsis-associated acute kidney injury (SA-AKI) shows poor clinical outcomes and remains a therapeutic challenge for clinicians. Early identification and prediction of persistent SA-AKI are crucial.
Machine Learning Prospective Studies Biomarkers Retrospective Studies Acute Kidney Injury Humans Middle Aged Sepsis Intensive Care Units Female Aged Male
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Prediction of acute and chronic kidney diseases during the post-covid-19 pandemic with machine learning models: utilizing national electronic health records in the US.

EBioMedicine Apr 26, 2025
BACKGROUND: COVID-19 has been linked to acute kidney injury (AKI) and chronic kidney disease (CKD), but machine learning (ML) models predicting these risks post-pandemic have been absent. We aimed to use large electronic health records (EHR) and ML a...
Machine Learning Pandemics COVID-19 Prospective Studies Middle Aged Electronic Health Records Acute Kidney Injury Humans Incidence Female ROC Curve SARS-CoV-2 United States Aged Renal Insufficiency, Chronic Male
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AI-generated questions for urological competency assessment: a prospective educational study.

BMC medical education Apr 25, 2025
BACKGROUND: The integration of artificial intelligence (AI) in medical education assessment remains largely unexplored, particularly in specialty-specific evaluations during clinical rotations. Traditional question development methods are time-intens...
Clinical Competence Educational Measurement Delphi Technique Urology Humans Internship and Residency Artificial Intelligence Prospective Studies Male
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Expectations of Intensive Care Physicians Regarding an AI-Based Decision Support System for Weaning From Continuous Renal Replacement Therapy: Predevelopment Survey Study.

JMIR medical informatics Apr 23, 2025
BACKGROUND: Critically ill patients in intensive care units (ICUs) require continuous monitoring, generating vast amounts of data. Clinical decision support systems (CDSS) leveraging artificial intelligence (AI) technologies have shown promise in imp...
Surveys and Questionnaires Humans Attitude of Health Personnel Decision Support Systems, Clinical Female Artificial Intelligence Critical Care Adult Physicians Cross-Sectional Studies Prospective Studies Male Continuous Renal Replacement Therapy Middle Aged Intensive Care Units
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Deep Learning-Driven Abbreviated Shoulder MRI Protocols: Diagnostic Accuracy in Clinical Practice.

Tomography (Ann Arbor, Mich.) Apr 17, 2025
BACKGROUND: Deep learning (DL) reconstruction techniques have shown promise in reducing MRI acquisition times while maintaining image quality. However, the impact of different acceleration factors on diagnostic accuracy in shoulder MRI remains unexpl...
Observer Variation Shoulder Edema Shoulder Joint Aged Deep Learning Humans Adult Magnetic Resonance Imaging Prospective Studies Sensitivity and Specificity Rotator Cuff Injuries Female Male Image Interpretation, Computer-Assisted Reproducibility of Results Middle Aged
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AI-enhanced guidance demonstrated improvement in novices' Apical-4-chamber and Apical-5-chamber views.

BMC medical education Apr 17, 2025
INTRODUCTION: Artificial Intelligence (AI) modules might simplify the complexities of cardiac ultrasound (US) training by offering real-time, step-by-step guidance on probe manipulation for high-quality diagnostic imaging. This study investigates rea...
Male Echocardiography Clinical Competence Humans Artificial Intelligence Prospective Studies Female Adult
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Estimated glucose disposal rate outperforms other insulin resistance surrogates in predicting incident cardiovascular diseases in cardiovascular-kidney-metabolic syndrome stages 0-3 and the development of a machine learning prediction model: a nationwide prospective cohort study.

Cardiovascular diabetology Apr 16, 2025
BACKGROUND: The American Heart Association recently introduced the concept of cardiovascular-kidney-metabolic (CKM) syndrome, highlighting the increasing importance of the complex interplay between metabolic, renal, and cardiovascular diseases (CVD)....
Humans Machine Learning Decision Support Techniques Prospective Studies Biomarkers Prognosis Female Middle Aged Risk Assessment Time Factors Risk Factors China Predictive Value of Tests Insulin Resistance Blood Glucose Aged Longitudinal Studies Incidence Male Metabolic Syndrome Cardiovascular Diseases Kidney Diseases
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Machine learning models for improving the diagnosing efficiency of skeletal class I and III in German orthodontic patients.

Scientific reports Apr 13, 2025
The precise and efficient diagnosis of an individual's skeletal class is necessary in orthodontics to ensure correct and stable treatment planning. However, it is difficult to efficiently determine the true skeletal class due to several correlations ...
Malocclusion, Angle Class III Malocclusion, Angle Class I Adolescent Young Adult Child Adult Humans Principal Component Analysis Cross-Sectional Studies Machine Learning Cephalometry Male Prospective Studies Germany Female
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Image quality improvement in head and neck angiography based on dual-energy CT and deep learning.

BMC medical imaging Apr 10, 2025
OBJECTIVE: Compare the image quality of image reconstructed using deep learning-based image reconstruction (DLIR) and iterative reconstruction algorithms for head and neck dual-energy CT angiography (DECTA).
Head and Neck Neoplasms Neck Radiographic Image Interpretation, Computer-Assisted Quality Improvement Artifacts Adult Male Middle Aged Deep Learning Head Signal-To-Noise Ratio Computed Tomography Angiography Radiography, Dual-Energy Scanned Projection Humans Algorithms Prospective Studies Tomography, X-Ray Computed Female Aged Aged, 80 and over
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