AIMC Topic: Aged

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Plasma-based near-infrared spectroscopy for early diagnosis of lung cancer.

Journal of pharmaceutical and biomedical analysis Jul 21, 2024
Lung cancer (LC) continues to be a leading death cause in China, primarily due to late diagnosis. This study aimed to evaluate the effectiveness of using plasma-based near-infrared spectroscopy (NIRS) for LC early diagnosis. A total of 171 plasma sam...
Spectroscopy, Near-Infrared Lung Neoplasms Support Vector Machine Humans Early Detection of Cancer Machine Learning Least-Squares Analysis Adult Algorithms Male Female Middle Aged Aged Case-Control Studies
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Deep learning image reconstruction for low-kiloelectron volt virtual monoenergetic images in abdominal dual-energy CT: medium strength provides higher lesion conspicuity.

Acta radiologica (Stockholm, Sweden : 1987) Jul 21, 2024
BACKGROUND: The best settings of deep learning image reconstruction (DLIR) algorithm for abdominal low-kiloelectron volt (keV) virtual monoenergetic imaging (VMI) have not been determined.
Signal-To-Noise Ratio Radiography, Abdominal Radiography, Dual-Energy Scanned Projection Middle Aged Deep Learning Humans Female Image Processing, Computer-Assisted Aged Algorithms Radiographic Image Interpretation, Computer-Assisted Aged, 80 and over Retrospective Studies Adult Tomography, X-Ray Computed Male
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Social determinants of health and disparities in spine surgery: a 10-year analysis of 8,565 cases using ensemble machine learning and multilayer perceptron.

The spine journal : official journal of the North American Spine Society Jul 20, 2024
BACKGROUND CONTEXT: The influence of SDOH on spine surgery is poorly understood. Historically, researchers commonly focused on the isolated influences of race, insurance status, or income on healthcare outcomes. However, analysis of SDOH is becoming ...
Humans Machine Learning Retrospective Studies Female Aged Healthcare Disparities Patient Readmission Social Determinants of Health Orthopedic Procedures Multilayer Perceptrons Adult Male Middle Aged Length of Stay Spine
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Deep representation learning from electronic medical records identifies distinct symptom based subtypes and progression patterns for COVID-19 prognosis.

International journal of medical informatics Jul 20, 2024
OBJECTIVE: Symptoms are significant kind of phenotypes for managing and controlling of the burst of acute infectious diseases, such as COVID-19. Although patterns of symptom clusters and time series have been considered the high potential prediction ...
Middle Aged Humans Female Disease Progression COVID-19 SARS-CoV-2 Deep Learning Prognosis China Aged Electronic Health Records Adult Male
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Retrospective analysis of interpretable machine learning in predicting ICU thrombocytopenia in geriatric ICU patients.

Scientific reports Jul 20, 2024
We developed an interpretable machine learning algorithm that prospectively predicts the risk of thrombocytopenia in older critically ill patients during their stay in the intensive care unit (ICU), ultimately aiding clinical decision-making and impr...
Algorithms Retrospective Studies Critical Illness Intensive Care Units Clinical Decision-Making Female Aged Aged, 80 and over Male Humans Machine Learning ROC Curve Thrombocytopenia
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Deploying artificial intelligence in the detection of adult appendicular and pelvic fractures in the Singapore emergency department after hours: efficacy, cost savings and non-monetary benefits.

Singapore medical journal Jul 19, 2024
INTRODUCTION: Radiology plays an integral role in fracture detection in the emergency department (ED). After hours, when there are fewer reporting radiologists, most radiographs are interpreted by ED physicians. A minority of these interpretations ma...
Radiography Emergency Service, Hospital Singapore Cost Savings Male Middle Aged Pelvic Bones Fractures, Bone Humans Artificial Intelligence Retrospective Studies Female Reproducibility of Results Aged Adult Sensitivity and Specificity
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Prognosticating global functional outcome in the recurrent ischemic stroke using baseline clinical and pre-clinical features: A machine learning study.

Journal of evaluation in clinical practice Jul 19, 2024
BACKGROUND AND PURPOSE: Recurrent ischemic stroke (RIS) induces additional functional limitations in patients. Prognosticating globally functional outcome (GFO) in RIS patients is thereby important to plan a suitable rehabilitation programme. This st...
Stroke Rehabilitation Middle Aged Humans Support Vector Machine Machine Learning Recovery of Function Ischemic Stroke Recurrence Prognosis Female Aged Male
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Radiomics based on multiple machine learning methods for diagnosing early bone metastases not visible on CT images.

Skeletal radiology Jul 19, 2024
OBJECTIVES: This study utilizes [Tc]-methylene diphosphate (MDP) single photon emission computed tomography (SPECT) images as a reference standard to evaluate whether the integration of radiomics features from computed tomography (CT) and machine lea...
Humans Female Aged Adult Radiomics Male Machine Learning Algorithms Retrospective Studies Tomography, X-Ray Computed Technetium Tc 99m Medronate Middle Aged Bone Neoplasms Radiopharmaceuticals Tomography, Emission-Computed, Single-Photon
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Deep learning-assisted two-dimensional transperineal ultrasound for analyzing bladder neck motion in women with stress urinary incontinence.

American journal of obstetrics and gynecology Jul 19, 2024
BACKGROUND: No universally recognized transperineal ultrasound parameters are available for evaluating stress urinary incontinence. The information captured by commonly used perineal ultrasound parameters is limited and insufficient for a comprehensi...
Ultrasonography ROC Curve Female Urinary Bladder Perineum Humans Aged Urinary Incontinence, Stress Retrospective Studies Organ Motion Adult Urethra Valsalva Maneuver Middle Aged Deep Learning
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Deep learning-based 3D quantitative total tumor burden predicts early recurrence of BCLC A and B HCC after resection.

European radiology Jul 19, 2024
OBJECTIVES: This study aimed to evaluate the potential of deep learning (DL)-assisted automated three-dimensional quantitative tumor burden at MRI to predict postoperative early recurrence (ER) of hepatocellular carcinoma (HCC).
Predictive Value of Tests Neoplasm Recurrence, Local Tumor Burden Hepatectomy Aged Humans Male Liver Neoplasms Prognosis Middle Aged Carcinoma, Hepatocellular Retrospective Studies Deep Learning Imaging, Three-Dimensional Female Contrast Media Magnetic Resonance Imaging
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