AIMC Topic: Aged

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Reduced response to regadenoson with increased weight: An artificial intelligence-based quantitative myocardial perfusion study.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Jul 25, 2024
BACKGROUND: There is conflicting evidence regarding the response to a fixed dose of regadenoson in patients with high body weight. The aim of this study was to evaluate the effectiveness of regadenoson in patients with varying body weights using nove...
Myocardial Perfusion Imaging Logistic Models Image Interpretation, Computer-Assisted Obesity Adenosine Pyrazoles Predictive Value of Tests Adenosine A2 Receptor Agonists Vasodilator Agents Coronary Artery Disease Purines Body Weight Coronary Circulation Humans Artificial Intelligence Algorithms Female Risk Factors Aged Male Middle Aged Case-Control Studies
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Impact of Downsampling Size and Interpretation Methods on Diagnostic Accuracy in Deep Learning Model for Breast Cancer Using Digital Breast Tomosynthesis Images.

The Tohoku journal of experimental medicine Jul 25, 2024
While deep learning (DL) models have shown promise in breast cancer diagnosis using digital breast tomosynthesis (DBT) images, the impact of varying matrix sizes and image interpolation methods on diagnostic accuracy remains unclear. Understanding th...
Humans Breast Neoplasms Middle Aged Retrospective Studies Deep Learning Female Image Processing, Computer-Assisted Aged Mammography Aged, 80 and over Adult
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Enabling AI-Generated Content for Gadolinium-Free Contrast-Enhanced Breast Magnetic Resonance Imaging.

Journal of magnetic resonance imaging : JMRI Jul 25, 2024
BACKGROUND: There is increasing interest in utilizing AI-generated content for gadolinium-free contrast-enhanced breast MRI.
Middle Aged Imaging, Three-Dimensional Image Processing, Computer-Assisted Contrast Media Magnetic Resonance Imaging Reproducibility of Results Aged Adult Sensitivity and Specificity Breast Neoplasms Breast Image Interpretation, Computer-Assisted Gadolinium Image Enhancement Diffusion Magnetic Resonance Imaging Humans Artificial Intelligence Algorithms Retrospective Studies Female
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Deep Learning Model Using Stool Pictures for Predicting Endoscopic Mucosal Inflammation in Patients With Ulcerative Colitis.

The American journal of gastroenterology Jul 25, 2024
INTRODUCTION: Stool characteristics may change depending on the endoscopic activity of ulcerative colitis (UC). We developed a deep learning model using stool photographs of patients with UC (DLSUC) to predict endoscopic mucosal inflammation.
Intestinal Mucosa Predictive Value of Tests Leukocyte L1 Antigen Complex Photography Severity of Illness Index Humans Deep Learning Prospective Studies Feces Female ROC Curve Colitis, Ulcerative Aged Adult Male Middle Aged Colonoscopy
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Machine learning models including preoperative and postoperative albumin-bilirubin score: short-term outcomes among patients with hepatocellular carcinoma.

HPB : the official journal of the International Hepato Pancreato Biliary Association Jul 25, 2024
BACKGROUND: We sought to assess the impact of various perioperative factors on the risk of severe complications and post-surgical mortality using a novel maching learning technique.
Databases, Factual Retrospective Studies Female Risk Factors Aged Humans Machine Learning Hospital Mortality Liver Neoplasms Bilirubin Carcinoma, Hepatocellular Hepatectomy Treatment Outcome Male Serum Albumin, Human Predictive Value of Tests Middle Aged Serum Albumin Risk Assessment Postoperative Complications Time Factors
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Integrating multi-task and cost-sensitive learning for predicting mortality risk of chronic diseases in the elderly using real-world data.

International journal of medical informatics Jul 25, 2024
BACKGROUND AND OBJECTIVE: Real-world data encompass population diversity, enabling insights into chronic disease mortality risk among the elderly. Deep learning excels on large datasets, offering promise for real-world data. However, current models f...
Risk Assessment Comorbidity Deep Learning China Chronic Disease Neural Networks, Computer Female Aged Aged, 80 and over Male Humans
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Comparison of Explainable Artificial Intelligence Model and Radiologist Review Performances to Detect Breast Cancer in 752 Patients.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine Jul 25, 2024
OBJECTIVES: Breast cancer is a type of cancer caused by the uncontrolled growth of cells in the breast tissue. In a few cases, erroneous diagnosis of breast cancer by specialists and unnecessary biopsies can lead to various negative consequences. In ...
Humans Artificial Intelligence Female Reproducibility of Results Aged Breast Image Interpretation, Computer-Assisted Middle Aged Adolescent Diagnosis, Differential Radiologists Ultrasonography, Mammary Aged, 80 and over Young Adult Adult Sensitivity and Specificity Breast Neoplasms
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An artificial intelligence-enabled electrocardiogram algorithm for the prediction of left atrial low-voltage areas in persistent atrial fibrillation.

Journal of cardiovascular electrophysiology Jul 25, 2024
OBJECTIVES: We aimed to construct an artificial intelligence-enabled electrocardiogram (ECG) algorithm that can accurately predict the presence of left atrial low-voltage areas (LVAs) in patients with persistent atrial fibrillation.
Humans Heart Rate Algorithms Aged Action Potentials Catheter Ablation Retrospective Studies Male Predictive Value of Tests Atrial Function, Left Female Middle Aged Signal Processing, Computer-Assisted Reproducibility of Results Deep Learning Atrial Fibrillation Electrocardiography Heart Atria
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Machine learning for the prediction of 1-year mortality in patients with sepsis-associated acute kidney injury.

BMC medical informatics and decision making Jul 25, 2024
INTRODUCTION: Sepsis-associated acute kidney injury (SA-AKI) is strongly associated with poor prognosis. We aimed to build a machine learning (ML)-based clinical model to predict 1-year mortality in patients with SA-AKI.
Humans Machine Learning Male Algorithms Middle Aged Prognosis Sepsis Acute Kidney Injury Female Aged
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Parkinson's image detection and classification based on deep learning.

BMC medical imaging Jul 25, 2024
OBJECTIVE: There are two major issues in the MRI image diagnosis task for Parkinson's disease. Firstly, there are slight differences in MRI images between healthy individuals and Parkinson's patients, and the medical field has not yet established pre...
Deep Learning Algorithms Humans Magnetic Resonance Imaging Female Aged Male Middle Aged Parkinson Disease Image Interpretation, Computer-Assisted Early Diagnosis
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