AIMC Topic: Aged

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Accuracy of artificial intelligence-based simulation for assessing lung vessels and volume using unenhanced computed tomography.

European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery Mar 4, 2025
OBJECTIVES: The advantages of preoperative three-dimensional (3D) image simulations, which require enhanced computed tomography (ECT), for anatomical lung resection are well documented. However, the necessity for contrast agent presents a significant...
Pulmonary Veins Imaging, Three-Dimensional Lung Neoplasms Pneumonectomy Pulmonary Artery Aged Aged, 80 and over Male Middle Aged Lung Humans Artificial Intelligence Tomography, X-Ray Computed Female
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Multimodal Artificial Intelligence Models Predicting Glaucoma Progression Using Electronic Health Records and Retinal Nerve Fiber Layer Scans.

Translational vision science & technology Mar 3, 2025
PURPOSE: The purpose of this study was to develop models that predict which patients with glaucoma will progress to require surgery, combining structured data from electronic health records (EHRs) and retinal fiber layer optical coherence tomography ...
Disease Progression Deep Learning ROC Curve Tomography, Optical Coherence Female Humans Nerve Fibers Aged Glaucoma Male Retinal Ganglion Cells Artificial Intelligence Middle Aged Retrospective Studies Electronic Health Records
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Easy ensemble classifier-group and intersectional fairness and threshold (EEC-GIFT): a fairness-aware machine learning framework for lung cancer screening eligibility using real-world data.

JNCI cancer spectrum Mar 3, 2025
BACKGROUND: We use real-world data to develop a lung cancer screening (LCS) eligibility mechanism that is both accurate and free from racial bias.
Male Middle Aged Lung Neoplasms Logistic Models Mass Screening Early Detection of Cancer Black or African American Eligibility Determination White Humans Machine Learning Female Aged
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An Approach to Predict Intraocular Diseases by Machine Learning Based on Vitreous Humor Immune Mediator Profile.

Investigative ophthalmology & visual science Mar 3, 2025
PURPOSE: This study aimed to elucidate whether machine learning algorithms applied to vitreous levels of immune mediators predict the diagnosis of 12 representative intraocular diseases, and identify immune mediators driving the predictive power of m...
Middle Aged ROC Curve Eye Diseases Vitreous Body Biomarkers Humans Female Machine Learning Aged Algorithms Adult Cytokines Male
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Structure-Function Correlation of Deep-Learning Quantified Ellipsoid Zone and Retinal Pigment Epithelium Loss and Microperimetry in Geographic Atrophy.

Investigative ophthalmology & visual science Mar 3, 2025
PURPOSE: The purpose of this study was to define structure-function correlation of geographic atrophy (GA) on optical coherence tomography (OCT) and functional testing on microperimetry (MP) based on deep-learning (DL)-quantified spectral-domain OCT ...
Visual Fields Visual Field Tests Retinal Pigment Epithelium Humans Geographic Atrophy Prospective Studies Middle Aged Female Deep Learning Aged Visual Acuity Aged, 80 and over Tomography, Optical Coherence Male
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Artificial Intelligence Versus Rules-Based Approach for Segmenting NonPerfusion Area in a DRCR Retina Network Optical Coherence Tomography Angiography Dataset.

Investigative ophthalmology & visual science Mar 3, 2025
PURPOSE: Loss of retinal perfusion is associated with both onset and worsening of diabetic retinopathy (DR). Optical coherence tomography angiography is a noninvasive method for measuring the nonperfusion area (NPA) and has promise as a scalable scre...
Retinal Vessels ROC Curve Tomography, Optical Coherence Fundus Oculi Fluorescein Angiography Diabetic Retinopathy Artificial Intelligence Algorithms Female Aged Adult Male Middle Aged Deep Learning Humans
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Automated proximal coronary artery calcium identification using artificial intelligence: advancing cardiovascular risk assessment.

European heart journal. Cardiovascular Imaging Mar 3, 2025
AIMS: Identification of proximal coronary artery calcium (CAC) may improve prediction of major adverse cardiac events (MACE) beyond the CAC score, particularly in patients with low CAC burden. We investigated whether the proximal CAC can be detected ...
Humans Artificial Intelligence Algorithms Prognosis Middle Aged Risk Assessment Severity of Illness Index ROC Curve Follow-Up Studies Retrospective Studies Tomography, X-Ray Computed Female Aged Male Coronary Angiography Coronary Artery Disease Vascular Calcification Computed Tomography Angiography
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Artificial intelligence-derived electrocardiographic aging and risk of atrial fibrillation: a multi-national study.

European heart journal Mar 3, 2025
BACKGROUND AND AIMS: Artificial intelligence (AI) algorithms in 12-lead electrocardiogram (ECG) provides promising age prediction methods. This study investigated whether the discrepancy between ECG-derived AI-predicted age (AI-ECG age) and chronolog...
Atrial Fibrillation Risk Factors United Kingdom Aged Adult Male Aging Middle Aged Risk Assessment United States Electrocardiography Humans Artificial Intelligence Algorithms Republic of Korea Female
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Electrocardiogram-based deep learning to predict mortality in paediatric and adult congenital heart disease.

European heart journal Mar 3, 2025
BACKGROUND AND AIMS: Robust and convenient risk stratification of patients with paediatric and adult congenital heart disease (CHD) is lacking. This study aims to address this gap with an artificial intelligence-enhanced electrocardiogram (ECG) tool ...
Infant, Newborn Aged Aged, 80 and over Young Adult Adult Humans Female Adolescent Child, Preschool Child Electrocardiography Heart Defects, Congenital Male Middle Aged Risk Assessment Infant Deep Learning
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Exploring Ovarian Cancer Prediction Models and Potential Markers Using Machine Learning.

Annals of clinical and laboratory science Mar 1, 2025
OBJECTIVE: To develop machine learning models, facilitate a more accurate diagnosis of ovarian cancer (OC), and explore potential markers.
Aged Humans Support Vector Machine Adult Neural Networks, Computer Ovarian Neoplasms Biomarkers, Tumor Machine Learning Area Under Curve Middle Aged Female CA-125 Antigen ROC Curve
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