AIMC Topic: Aged

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Breast cancer detection and classification with digital breast tomosynthesis: a two-stage deep learning approach.

Diagnostic and interventional radiology (Ankara, Turkey) Dec 9, 2024
PURPOSE: The purpose of this study was to propose a new computer-assisted two-staged diagnosis system that combines a modified deep learning (DL) architecture (VGG19) for the classification of digital breast tomosynthesis (DBT) images with the detect...
Female Aged Adult Breast Neoplasms Middle Aged Humans Deep Learning Mammography Radiographic Image Interpretation, Computer-Assisted Breast
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Utility of a Large Language Model for Extraction of Clinical Findings from Healthcare Data following Lung Ablation: A Feasibility Study.

Journal of vascular and interventional radiology : JVIR Dec 9, 2024
To assess the feasibility of utilizing a large language model (LLM) in extracting clinically relevant information from healthcare data in patients who have undergone microwave ablation for lung tumors. In this single-center retrospective study, radio...
Recurrence Large Language Models Hemothorax Ablation Techniques Feasibility Studies Pneumothorax Reproducibility of Results Neoplasm Recurrence, Local Hemoptysis Lung Neoplasms Aged Humans Data Mining Male Treatment Outcome Microwaves Retrospective Studies Middle Aged Predictive Value of Tests Electronic Health Records Time Factors Female Natural Language Processing
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Predicting 30-day reoperation following primary total knee arthroplasty: machine learning model outperforms the ACS risk calculator.

Medical & biological engineering & computing Dec 9, 2024
The ACS risk calculator (ARC) has proven less effective in predicting patient-specific risk of early reoperation after primary total knee arthroplasty (TKA), compromising care quality and cost efficiency. This study compared the performance of a mach...
Risk Assessment Arthroplasty, Replacement, Knee Reoperation Humans Machine Learning Aged Male Middle Aged Female Risk Factors
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Prediction of Two Year Survival Following Elective Repair of Abdominal Aortic Aneurysms at A Single Centre Using A Random Forest Classification Algorithm.

European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery Dec 9, 2024
OBJECTIVE: The decision to electively repair an abdominal aortic aneurysm (AAA) involves balancing the risk of rupture, peri-procedural death, and life expectancy. Random forest classifiers (RFCs) are powerful machine learning algorithms. The aim of ...
Endovascular Procedures Predictive Value of Tests Aortic Aneurysm, Abdominal Elective Surgical Procedures Random Forest Female Humans Risk Factors Risk Assessment Machine Learning Aged Time Factors Algorithms Male Aged, 80 and over Treatment Outcome Middle Aged Retrospective Studies
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Impact of Inflammation After Cardiac Surgery on 30-Day Mortality and Machine Learning Risk Prediction.

Journal of cardiothoracic and vascular anesthesia Dec 9, 2024
OBJECTIVES: To investigate the impact of systemic inflammatory response syndrome (SIRS) on 30-day mortality following cardiac surgery and develop a machine learning model to predict SIRS.
Risk Assessment Risk Factors Humans Aged Postoperative Complications Predictive Value of Tests Machine Learning Male Retrospective Studies Cohort Studies Cardiac Surgical Procedures Middle Aged Female Systemic Inflammatory Response Syndrome
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Modeling the fasting blood glucose response to basal insulin adjustment in type 2 diabetes: An explainable machine learning approach on real-world data.

International journal of medical informatics Dec 9, 2024
INTRODUCTION: Optimal basal insulin titration for people with type 2 diabetes is vital to effectively reducing the risk of complications. However, a sizeable proportion of people (30-50 %) remain in suboptimal glycemic control six months post-initiat...
Blood Glucose Insulin Humans Diabetes Mellitus, Type 2 Machine Learning Hypoglycemic Agents Female Aged Male Middle Aged Fasting
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Prediction of Visual Acuity After Cataract Surgery by Deep Learning Methods Using Clinical Information and Color Fundus Photography.

Current eye research Dec 9, 2024
PURPOSE: To examine the performance of deep-learning models that predicts the visual acuity after cataract surgery using preoperative clinical information and color fundus photography (CFP).
Deep Learning Visual Acuity Cataract Extraction Cataract Aged Aged, 80 and over Male Middle Aged Fundus Oculi Postoperative Period Photography Humans Retrospective Studies Female
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Classification of speech arrests and speech impairments during awake craniotomy: a multi-databases analysis.

International journal of computer assisted radiology and surgery Dec 9, 2024
PURPOSE: Awake craniotomy presents a unique opportunity to map and preserve critical brain functions, particularly speech, during tumor resection. The ability to accurately assess linguistic functions in real-time not only enhances surgical precision...
Male Middle Aged Deep Learning Wakefulness Craniotomy Speech Disorders Female Aged Adult Brain Neoplasms Humans
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Automated Segmentation of MRI White Matter Hyperintensities in 8421 Patients with Acute Ischemic Stroke.

AJNR. American journal of neuroradiology Dec 9, 2024
BACKGROUND AND PURPOSE: To date, only a few small studies have attempted deep learning-based automatic segmentation of white matter hyperintensity (WMH) lesions in patients with cerebral infarction; this issue is complicated because stroke-related le...
Humans Algorithms Republic of Korea Female Reproducibility of Results Deep Learning Ischemic Stroke Aged Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Male White Matter Middle Aged
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Volumetric Breast Density Estimation From Three-Dimensional Reconstructed Digital Breast Tomosynthesis Images Using Deep Learning.

JCO clinical cancer informatics Dec 9, 2024
PURPOSE: Breast density is a widely established independent breast cancer risk factor. With the increasing utilization of digital breast tomosynthesis (DBT) in breast cancer screening, there is an opportunity to estimate volumetric breast density (VB...
Humans Retrospective Studies Female Breast Case-Control Studies Breast Density Deep Learning Aged Imaging, Three-Dimensional Adult Early Detection of Cancer Breast Neoplasms Mammography Middle Aged
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