AIMC Topic:
Middle Aged

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Prognosis modelling of adverse events for post-PCI treated AMI patients based on inflammation and nutrition indexes.

BMC cardiovascular disorders Jan 23, 2025
OBJECTIVE: This study aimed to evaluate the predictive performance of inflammatory and nutritional indices for adverse cardiovascular events (ACE) in patients with acute myocardial infarction (AMI) after percutaneous coronary intervention (PCI) using...
Neural Networks, Computer Machine Learning Decision Support Techniques Biomarkers Female Risk Factors Aged Male Humans Myocardial Infarction Inflammation Mediators Nutritional Status Treatment Outcome Decision Trees Predictive Value of Tests Percutaneous Coronary Intervention Middle Aged Nutrition Assessment Risk Assessment Inflammation
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A deep learning approach for early prediction of breast cancer neoadjuvant chemotherapy response on multistage bimodal ultrasound images.

BMC medical imaging Jan 23, 2025
Neoadjuvant chemotherapy (NAC) is a systemic and systematic chemotherapy regimen for breast cancer patients before surgery. However, NAC is not effective for everyone, and the process is excruciating. Therefore, accurate early prediction of the effic...
Image Interpretation, Computer-Assisted Ultrasonography, Doppler, Color Deep Learning Neoadjuvant Therapy Ultrasonography, Mammary Neural Networks, Computer Female Breast Neoplasms Middle Aged Humans
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Enhancing trauma triage in low-resource settings using machine learning: a performance comparison with the Kampala Trauma Score.

BMC emergency medicine Jan 23, 2025
BACKGROUND: Traumatic injuries are a leading cause of morbidity and mortality globally, with a disproportionate impact on populations in low- and middle-income countries (LMICs). The Kampala Trauma Score (KTS) is frequently used for triage in these s...
Wounds and Injuries Hospitals, Rural Logistic Models Triage Developing Countries Injury Severity Score Female Young Adult Adult Male Middle Aged Adolescent Uganda ROC Curve Humans Machine Learning
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A Novel Artificial Intelligence-Enhanced Digital Network for Prehospital Emergency Support: Community Intervention Study.

Journal of medical Internet research Jan 23, 2025
BACKGROUND: Efficient emergency patient transport systems, which are crucial for delivering timely medical care to individuals in critical situations, face certain challenges. To address this, CONNECT-AI (CONnected Network for EMS Comprehensive Techn...
Male Middle Aged Emergency Medical Services Artificial Intelligence Republic of Korea Humans Female Aged
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Use of Machine Learning to Predict Individual Postprandial Glycemic Responses to Food Among Individuals With Type 2 Diabetes in India: Protocol for a Prospective Cohort Study.

JMIR research protocols Jan 23, 2025
BACKGROUND: Type 2 diabetes (T2D) is a leading cause of premature morbidity and mortality globally and affects more than 100 million people in the world's most populous country, India. Nutrition is a critical and evidence-based component of effective...
India Male Glycated Hemoglobin Humans Middle Aged Machine Learning Postprandial Period Blood Glucose Prospective Studies Diabetes Mellitus, Type 2 Female Adult
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The role of CTGF and MFG-E8 in the prognosis assessment of SCAP: a study combining machine learning and nomogram analysis.

Frontiers in immunology Jan 23, 2025
BACKGROUND: Severe Community-Acquired Pneumonia (SCAP) is a serious global health issue with high incidence and mortality rates. In recent years, the role of biomarkers such as Connective Tissue Growth Factor (CTGF) and Milk Fat Globule-Epidermal Gro...
Pneumonia Antigens, Surface Milk Proteins Connective Tissue Growth Factor Humans Adult Biomarkers Machine Learning Male Prospective Studies Prognosis Middle Aged Nomograms Female Aged
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What factors influence the willingness and intensity of regular mobile physical activity?- A machine learning analysis based on a sample of 290 cities in China.

Frontiers in public health Jan 23, 2025
INTRODUCTION: This study, based on Volunteered Geographic Information (VGI) and multi-source data, aims to construct an interpretable macro-scale analytical framework to explore the factors influencing urban physical activities. Using 290 prefecture-...
Walking Built Environment Bicycling Cities Socioeconomic Factors Environment Design Male Humans Middle Aged Machine Learning Exercise Female China Adult
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Photoacoustic Imaging with Attention-Guided Deep Learning for Predicting Axillary Lymph Node Status in Breast Cancer.

Academic radiology Jan 22, 2025
RATIONALE AND OBJECTIVES: Preoperative assessment of axillary lymph node (ALN) status is essential for breast cancer management. This study explores the use of photoacoustic (PA) imaging combined with attention-guided deep learning (DL) for precise p...
Humans Retrospective Studies Deep Learning Lymph Nodes Nomograms Lymphatic Metastasis Female Adult Breast Neoplasms Middle Aged Axilla Sentinel Lymph Node Biopsy Photoacoustic Techniques
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An Artificial Intelligence-Digital Pathology Algorithm Predicts Survival After Radical Prostatectomy From the Prostate, Lung, Colorectal, and Ovarian Cancer Trial.

The Journal of urology Jan 22, 2025
PURPOSE: Clinical variables alone have limited ability to determine which patients will have recurrence after radical prostatectomy (RP). We evaluated the ability of locked multimodal artificial intelligence (MMAI) algorithms trained on prostate biop...
Humans Male Middle Aged Artificial Intelligence Prostatic Neoplasms Prognosis Prostatectomy Aged Survival Rate
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An interpretable hybrid machine learning approach for predicting three-month unfavorable outcomes in patients with acute ischemic stroke.

International journal of medical informatics Jan 22, 2025
BACKGROUND: Acute ischemic stroke (AIS) is a clinical disorder caused by nontraumatic cerebrovascular disease with a high incidence, mortality, and disability rate. Most stroke survivors are left with speech and physical impairments, and emotional pr...
Ischemic Stroke Female Humans Aged Machine Learning Male Prognosis Middle Aged
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