AIMC Topic: Middle Aged

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Predicting hospital admissions for upper respiratory tract complaints: An artificial neural network approach integrating air pollution and meteorological factors.

Environmental monitoring and assessment Jul 24, 2024
This study uses artificial neural networks (ANNs) to examine the intricate relationship between air pollutants, meteorological factors, and respiratory disorders. The study investigates the correlation between hospital admissions for respiratory dise...
Meteorological Concepts Child, Preschool Child Environmental Monitoring Air Pollutants Respiratory Tract Infections Respiratory Tract Diseases Sulfur Dioxide Air Pollution Particulate Matter Adult Male Middle Aged Adolescent Female Hospitalization Aged Young Adult Humans Neural Networks, Computer
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Interpretable machine learning model based on clinical factors for predicting muscle radiodensity loss after treatment in ovarian cancer.

Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer Jul 24, 2024
PURPOSE: Muscle radiodensity loss after surgery and adjuvant chemotherapy is associated with poor outcomes in ovarian cancer. Assessing muscle radiodensity is a real-world clinical challenge owing to the requirement for computed tomography (CT) with ...
Tomography, X-Ray Computed Female Aged Adult Humans Machine Learning Retrospective Studies Middle Aged Ovarian Neoplasms Cytoreduction Surgical Procedures Chemotherapy, Adjuvant
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Machine learning-based derivation and validation of three immune phenotypes for risk stratification and prognosis in community-acquired pneumonia: a retrospective cohort study.

Frontiers in immunology Jul 24, 2024
BACKGROUND: The clinical presentation of Community-acquired pneumonia (CAP) in hospitalized patients exhibits heterogeneity. Inflammation and immune responses play significant roles in CAP development. However, research on immunophenotypes in CAP pat...
Male Middle Aged Risk Assessment Severity of Illness Index Retrospective Studies Humans Community-Acquired Infections Female Machine Learning Aged Phenotype Pneumonia Adult Prognosis Immunophenotyping
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A Comparison of Systematic, Targeted, and Combined Biopsy Using Machine Learning for Prediction of Prostate Cancer Risk: A Multi-Center Study.

Medical principles and practice : international journal of the Kuwait University, Health Science Centre Jul 24, 2024
OBJECTIVES: The aims of the study were to construct a new prognostic prediction model for detecting prostate cancer (PCa) patients using machine-learning (ML) techniques and to compare those models across systematic and target biopsy detection techni...
Middle Aged Humans Risk Assessment Machine Learning Saudi Arabia Prostatic Neoplasms Algorithms Prostate-Specific Antigen Retrospective Studies Prostate Aged Image-Guided Biopsy Male Multiparametric Magnetic Resonance Imaging
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Deep Learning Reconstruction of Prospectively Accelerated MRI of the Pancreas: Clinical Evaluation of Shortened Breath-Hold Examinations With Dixon Fat Suppression.

Investigative radiology Jul 23, 2024
OBJECTIVE: Deep learning (DL)-enabled magnetic resonance imaging (MRI) reconstructions can enable shortening of breath-hold examinations and improve image quality by reducing motion artifacts. Prospective studies with DL reconstructions of accelerate...
Humans Prospective Studies Female Aged Aged, 80 and over Artifacts Pancreas Signal-To-Noise Ratio Breath Holding Image Processing, Computer-Assisted Adult Male Magnetic Resonance Imaging Middle Aged Pancreatic Diseases Deep Learning Image Interpretation, Computer-Assisted
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Noninvasive and fast method of calculation for instantaneous wave-free ratio based on haemodynamics and deep learning.

Computer methods and programs in biomedicine Jul 23, 2024
BACKGROUND AND OBJECTIVES: Instantaneous wave-free ratio (iFR) is a new invasive indicator of myocardial ischaemia, and its diagnostic performance is as good as the "gold standard" of myocardial ischaemia diagnosis: fractional flow reserve (FFR). iFR...
Microcirculation Computed Tomography Angiography Models, Cardiovascular Coronary Stenosis Fractional Flow Reserve, Myocardial Coronary Angiography Coronary Vessels Myocardial Ischemia Hydrodynamics Humans Male Algorithms Neural Networks, Computer Middle Aged Female Hemodynamics Aged Deep Learning
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Detection and characterization of pancreatic lesion with artificial intelligence: The SFR 2023 artificial intelligence data challenge.

Diagnostic and interventional imaging Jul 23, 2024
PURPOSE: The purpose of the 2023 SFR data challenge was to invite researchers to develop artificial intelligence (AI) models to identify the presence of a pancreatic mass and distinguish between benign and malignant pancreatic masses on abdominal com...
Artificial Intelligence Pancreas Humans Tomography, X-Ray Computed Male Female Middle Aged Diagnosis, Differential Pancreatic Neoplasms
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Using ensemble learning and hierarchical strategy to predict the outcomes of ESWL for upper ureteral stone treatment.

Computers in biology and medicine Jul 23, 2024
Urinary tract stones are a common and frequently recurring medical issue. Accurately predicting the success rate after surgery can help avoid ineffective medical procedures and reduce unnecessary healthcare costs. This study collected data from patie...
Aged Adult Male Middle Aged Humans Lithotripsy Machine Learning Treatment Outcome Female Ureteral Calculi
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Development of a deep learning-based fully automated segmentation of rotator cuff muscles from clinical MR scans.

Acta radiologica (Stockholm, Sweden : 1987) Jul 23, 2024
BACKGROUND: The fatty infiltration and atrophy in the muscle after a rotator cuff (RC) tear are important in surgical decision-making and are linked to poor clinical outcomes after rotator cuff repair. An accurate and reliable quantitative method sho...
Rotator Cuff Injuries Rotator Cuff Male Middle Aged Deep Learning Magnetic Resonance Imaging Reproducibility of Results Humans Aged Female Adult
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Machine learning-based estimation of patient body weight from radiation dose metrics in computed tomography.

Journal of applied clinical medical physics Jul 23, 2024
PURPOSE: Currently, precise patient body weight (BW) at the time of diagnostic imaging cannot always be used for radiation dose management. Various methods have been explored to address this issue, including the application of deep learning to medica...
Humans Male Machine Learning Middle Aged Algorithms Tomography, X-Ray Computed Image Processing, Computer-Assisted Body Weight Female Radiation Dosage Aged Adult
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