AIMC Topic: Aged

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External validation of predictive models for antibiotic susceptibility of urine culture.

BJU international Dec 22, 2024
OBJECTIVE: To develop, externally validate, and test a series of computer algorithms to accurately predict antibiotic susceptibility test (AST) results at the time of clinical diagnosis, up to 3 days before standard urine culture results become avail...
Urinary Tract Infections Antimicrobial Stewardship Algorithms Anti-Bacterial Agents Female Aged Middle Aged Microbial Sensitivity Tests Predictive Value of Tests Adult Male Humans Machine Learning
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Accurate prediction of bleeding risk after coronary artery bypass grafting with dual antiplatelet therapy: A machine learning model vs. the PRECISE-DAPT score.

International journal of cardiology Dec 22, 2024
BACKGROUND: Dual antiplatelet therapy (DAPT) after coronary artery bypass grafting (CABG), although might be protective for ischemic events, can lead to varying degrees of bleeding, resulting in serious clinical events, including death. This study ai...
Predictive Value of Tests Postoperative Hemorrhage Hemorrhage Platelet Aggregation Inhibitors Coronary Artery Bypass Dual Anti-Platelet Therapy Male Middle Aged Risk Assessment Cohort Studies Retrospective Studies Female Risk Factors Aged Humans Machine Learning
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AI-derived automated quantification of cardiac chambers and myocardium from non-contrast CT: Prediction of major adverse cardiovascular events in asymptomatic subjects.

Atherosclerosis Dec 22, 2024
BACKGROUND AND AIMS: The significance of left ventricular mass and chamber volumes from non-contrast computed tomography (CT) for predicting major adverse cardiovascular events (MACE) has not been studied. Our objective was to evaluate the role of ar...
Risk Assessment Deep Learning Predictive Value of Tests Coronary Angiography Heart Ventricles Vascular Calcification Asymptomatic Diseases Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Female Aged Male Middle Aged Humans Artificial Intelligence Prognosis Tomography, X-Ray Computed
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Improving functional correlation of quantification of interstitial lung disease by reducing the vendor difference of CT using generative adversarial network (GAN) style conversion.

European journal of radiology Dec 22, 2024
OBJECTIVE: To assess whether CT style conversion between different CT vendors using a routable generative adversarial network (RouteGAN) could minimize variation in ILD quantification, resulting in improved functional correlation of quantitative CT (...
Reproducibility of Results Aged Male Middle Aged Humans Retrospective Studies Tomography, X-Ray Computed Female Lung Diseases, Interstitial Respiratory Function Tests Lung Generative Adversarial Networks Deep Learning Idiopathic Pulmonary Fibrosis Radiographic Image Interpretation, Computer-Assisted
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Early detection of high blood pressure from natural speech sounds with graph diffusion network.

Computers in biology and medicine Dec 22, 2024
This study presents an innovative approach to cuffless blood pressure prediction by integrating speech and demographic features. With a focus on non-invasive monitoring, especially in remote regions, our model harnesses speech signals and demographic...
Humans Neural Networks, Computer Female Early Diagnosis Speech Aged Hypertension Adult Blood Pressure Determination Male Blood Pressure Middle Aged Signal Processing, Computer-Assisted
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A clinical pilot trial of an artificial intelligence-driven smart phone application of bowel preparation for colonoscopy: a randomized clinical trial.

Scandinavian journal of gastroenterology Dec 22, 2024
BACKGROUND: High-quality bowel preparation is paramount for a successful colonoscopy. This study aimed to explore the effect of artificial intelligence-driven smartphone software on the quality of bowel preparation.
Female Aged Adult Male Middle Aged Humans Artificial Intelligence Colonic Polyps Cathartics Colonoscopy Pilot Projects Smartphone Mobile Applications
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A machine learning prediction model for total shoulder arthroplasty procedure duration: an evaluation of surgeon, patient, and shoulder-specific factors.

Journal of shoulder and elbow surgery Dec 21, 2024
BACKGROUND: Operating room efficiency is of paramount importance for scheduling, cost efficiency, and to allow for the high operating volume required to address the growing demand for arthroplasty. The purpose of this study was to develop a machine l...
Operative Time Shoulder Joint Arthroplasty, Replacement, Shoulder Humans Machine Learning Aged Male Middle Aged Retrospective Studies Female
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Image quality assessment of artificial intelligence iterative reconstruction for low dose unenhanced abdomen: comparison with hybrid iterative reconstruction.

Abdominal radiology (New York) Dec 21, 2024
OBJECTIVES: To assess the impact of artificial intelligence iterative reconstruction algorithms (AIIR) on image quality with phantom and clinical studies.
Artificial Intelligence Algorithms Tomography, X-Ray Computed Female Aged Humans Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Signal-To-Noise Ratio Phantoms, Imaging Radiography, Abdominal Aged, 80 and over Adult Male Middle Aged
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Automated measurement of cardiothoracic ratio based on semantic segmentation integration model using deep learning.

Medical & biological engineering & computing Dec 21, 2024
The objective of this study is to investigate the efficacy of the semantic segmentation model in predicting cardiothoracic ratio (CTR) and heart enlargement and compare its consistency with the reference standard. A total of 650 consecutive chest rad...
Humans Retrospective Studies Female Semantics Radiography, Thoracic Lung Deep Learning Image Processing, Computer-Assisted Heart Aged Adult Male Middle Aged
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Comparison of conventional diffusion-weighted imaging and multiplexed sensitivity-encoding combined with deep learning-based reconstruction in breast magnetic resonance imaging.

Magnetic resonance imaging Dec 21, 2024
PURPOSE: To evaluate the feasibility of multiplexed sensitivity-encoding (MUSE) with deep learning-based reconstruction (DLR) for breast imaging in comparison with conventional diffusion-weighted imaging (DWI) and MUSE alone.
Signal-To-Noise Ratio Diffusion Magnetic Resonance Imaging Image Processing, Computer-Assisted Breast Feasibility Studies Image Interpretation, Computer-Assisted Humans Female Reproducibility of Results Breast Neoplasms Aged Middle Aged Adult Deep Learning
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