AIMC Topic: Aged

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Predicting Short-Term Mortality after Endovascular Aortic Repair Using Machine Learning-Based Decision Tree Analysis.

Annals of vascular surgery Nov 22, 2024
BACKGROUND: Endovascular aneurysm repair (EVAR) has revolutionized the treatment of abdominal aortic aneurysms by offering a less invasive alternative to open surgery. Understanding the factors that influence patient outcomes, particularly for high-r...
Middle Aged Risk Assessment Time Factors Humans Treatment Outcome Machine Learning Decision Trees Decision Support Techniques Risk Factors Retrospective Studies Aged Clinical Decision-Making Aged, 80 and over Female Male Reproducibility of Results Predictive Value of Tests Aortic Aneurysm, Abdominal Nutritional Status Blood Vessel Prosthesis Implantation Endovascular Procedures Endovascular Aneurysm Repair
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Predictive Factors Driving Positive Awake Test in Carotid Endarterectomy Using Machine Learning.

Annals of vascular surgery Nov 22, 2024
BACKGROUND: Positive neurologic awake testing during the carotid cross-clamping may be present in around 8% of patients undergoing carotid endarterectomy (CEA). The present work aimed to assess the accuracy of an artificial intelligence (AI)-powered ...
Case-Control Studies Intraoperative Neurophysiological Monitoring Treatment Outcome Predictive Value of Tests Wakefulness Carotid Stenosis Neurologic Examination Endarterectomy, Carotid Aged Aged, 80 and over Male Middle Aged Risk Assessment Retrospective Studies Female Reproducibility of Results Humans Risk Factors Machine Learning Decision Support Techniques
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Effect of a Machine Learning-Derived Early Warning Tool With Treatment Protocol on Hypotension During Cardiac Surgery and ICU Stay: The Hypotension Prediction 2 (HYPE-2) Randomized Clinical Trial.

Critical care medicine Nov 22, 2024
OBJECTIVES: Cardiac surgery is associated with perioperative complications, some of which might be attributable to hypotension. The Hypotension Prediction Index (HPI), a machine-learning-derived early warning tool for hypotension, has only been evalu...
Female Aged Male Middle Aged Cardiac Surgical Procedures Humans Machine Learning Intensive Care Units Hypotension Netherlands Early Warning Score
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Artificial intelligence-based body composition analysis using computed tomography images predicts both prevalence and incidence of diabetes mellitus.

Journal of diabetes investigation Nov 22, 2024
AIM/INTRODUCTION: We assess the efficacy of artificial intelligence (AI)-based, fully automated, volumetric body composition metrics in predicting the risk of diabetes.
Longitudinal Studies Follow-Up Studies Body Composition Risk Factors Intra-Abdominal Fat Artificial Intelligence Aged Prognosis Adult Humans Retrospective Studies Cross-Sectional Studies Male Tomography, X-Ray Computed Middle Aged Female Prevalence Incidence Diabetes Mellitus
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Factors inducing cutaneous adverse reactions in cancer patients treated with PD-1 and PD-L1 inhibitors: a machine-learning algorithm approach.

Immunopharmacology and immunotoxicology Nov 22, 2024
BACKGROUND: Immune checkpoint inhibitors (ICIs) show promise in cancer treatment but can lead to immune-related adverse events (irAEs), notably affecting the skin. Understanding the factors behind these skin reactions is crucial for effective managem...
Humans Machine Learning Algorithms Female Aged Neoplasms Immune Checkpoint Inhibitors B7-H1 Antigen Programmed Cell Death 1 Receptor Drug Eruptions Aged, 80 and over Adult Male Middle Aged
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How do older adults react to social robots' offspring-like voices.

Social science & medicine (1982) Nov 22, 2024
Social robots are being developed as a technological solution to alleviate older adults' loneliness due to separation from their offspring. This study explores how and why offspring-like voices affect older adults' acceptance of social robots from an...
Loneliness Humans Male Middle Aged Social Identification Female Robotics Aged Voice Aged, 80 and over Social Interaction
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Multi-scale multimodal deep learning framework for Alzheimer's disease diagnosis.

Computers in biology and medicine Nov 22, 2024
Multimodal neuroimaging data, including magnetic resonance imaging (MRI) and positron emission tomography (PET), provides complementary information about the brain that can aid in Alzheimer's disease (AD) diagnosis. However, most existing deep learni...
Humans Neuroimaging Magnetic Resonance Imaging Multimodal Imaging Neural Networks, Computer Brain Alzheimer Disease Aged Positron-Emission Tomography Deep Learning Image Interpretation, Computer-Assisted
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Comprehensive prediction of outcomes in patients with ST elevation myocardial infarction (STEMI) using tree-based machine learning algorithms.

Computers in biology and medicine Nov 22, 2024
ST elevation myocardial infarction (STEMI), a subtype of acute coronary syndrome, is one of the leading causes of morbidity and mortality. Revascularization using primary percutaneous coronary intervention (PPCI) is the gold standard treatment. Despi...
Female Aged Male Middle Aged ST Elevation Myocardial Infarction Humans Machine Learning Algorithms Retrospective Studies Percutaneous Coronary Intervention
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Screening for severe coronary stenosis in patients with apparently normal electrocardiograms based on deep learning.

BMC medical informatics and decision making Nov 22, 2024
BACKGROUND: Patients with severe coronary arterystenosis may present with apparently normal electrocardiograms (ECGs), making it difficult to detect adverse health conditions during routine screenings or physical examinations. Consequently, these pat...
Electrocardiography Coronary Stenosis Humans Female Aged Sensitivity and Specificity Male Middle Aged Severity of Illness Index Deep Learning
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Machine learning based predictive modeling and risk factors for prolonged SARS-CoV-2 shedding.

Journal of translational medicine Nov 22, 2024
BACKGROUND: The global outbreak of the coronavirus disease 2019 (COVID-19) has been enormously damaging, in which prolonged shedding of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2, previously 2019-nCoV) infection is a challenge in the...
Aged Young Adult Adult Male Middle Aged China Adolescent Time Factors Virus Shedding COVID-19 Retrospective Studies Female SARS-CoV-2 Risk Factors Humans Machine Learning
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