AI Medical Compendium Journal:
International journal of medical informatics

Showing 21 to 30 of 372 articles

Development and validation of explainable machine learning models for female hip osteoporosis using electronic health records.

International journal of medical informatics Mar 22, 2025
BACKGROUND: Hip fractures are associated with reduced mobility, and higher morbidity, mortality, and healthcare costs. Approximately 90% of hip fractures in the elderly are associated with osteoporosis, making it particularly important to screen the ...
Absorptiometry, Photon Middle Aged Hip Fractures Humans Electronic Health Records Machine Learning Algorithms Female Retrospective Studies Bone Density Aged Osteoporosis
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Comparing logistic regression and machine learning for obesity risk prediction: A systematic review and meta-analysis.

International journal of medical informatics Mar 21, 2025
BACKGROUND: Logistic regression (LR) has traditionally been the standard method used for predicting binary health outcomes; however, machine learning (ML) methods are increasingly popular.
Area Under Curve Machine Learning Logistic Models Humans Risk Assessment Algorithms Obesity
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Evaluating AI-generated patient education materials for spinal surgeries: Comparative analysis of readability and DISCERN quality across ChatGPT and deepseek models.

International journal of medical informatics Mar 13, 2025
BACKGROUND: Access to patient-centered health information is essential for informed decision-making. However, online medical resources vary in quality and often fail to accommodate differing degrees of health literacy. This issue is particularly evid...
Humans Artificial Intelligence Generative Artificial Intelligence Spinal Fusion Comprehension Health Literacy Natural Language Processing Patient Education as Topic
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AI-based personalized real-time risk prediction for behavioral management in psychiatric wards using multimodal data.

International journal of medical informatics Mar 12, 2025
BACKGROUND: Suicide is a major global health issue, with approximately 700,000 deaths annually (WHO). In psychiatric wards, managing harmful behaviors such as suicide, self-harm, and aggression is essential to ensure patient and staff safety. However...
Psychiatric Department, Hospital Risk Assessment Bayes Theorem Male Middle Aged Artificial Intelligence Mental Disorders Female Adult Republic of Korea Humans
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Development and validation of an interpretable machine learning model for predicting in-hospital mortality for ischemic stroke patients in ICU.

International journal of medical informatics Mar 9, 2025
BACKGROUND: Timely and accurate outcome prediction is essential for clinical decision-making for ischemic stroke patients in the intensive care unit (ICU). However, the interpretation and translation of predictive models into clinical applications ar...
Neural Networks, Computer Machine Learning Algorithms Humans Aged Male Middle Aged Intensive Care Units Female ROC Curve China Ischemic Stroke Hospital Mortality
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Machine learning explainability for survival outcome in head and neck squamous cell carcinoma.

International journal of medical informatics Mar 8, 2025
BACKGROUND: Diagnosis and treatment of head and neck squamous cell carcinoma (HNSCC) induces psychological variables and treatment-related toxicity in patients. The evaluation of outcomes is warranted for effective treatment planning and improved dis...
Prognosis Female Aged Adult Sweden Humans Machine Learning Squamous Cell Carcinoma of Head and Neck Male Head and Neck Neoplasms Middle Aged
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Patient consent for the secondary use of health data in artificial intelligence (AI) models: A scoping review.

International journal of medical informatics Mar 8, 2025
BACKGROUND: The secondary use of health data for training Artificial Intelligence (AI) models holds immense potential for advancing medical research and healthcare delivery. However, ensuring patient consent for such utilization is paramount to uphol...
Computer Security Humans Confidentiality Informed Consent Artificial Intelligence
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Predictive value of machine learning for in-hospital mortality risk in acute myocardial infarction: A systematic review and meta-analysis.

International journal of medical informatics Mar 8, 2025
BACKGROUND: Machine learning (ML) models have been constructed to predict the risk of in-hospital mortality in patients with myocardial infarction (MI). Due to diverse ML models and modeling variables, along with the significant imbalance in data, th...
Machine Learning Risk Assessment Myocardial Infarction Humans Hospital Mortality
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Artificial intelligence based predictive tools for identifying type 2 diabetes patients at high risk of treatment Non-adherence: A systematic review.

International journal of medical informatics Mar 1, 2025
AIMS: Several Artificial Intelligence (AI) based predictive tools have been developed to predict non-adherence among patients with type 2 diabetes (T2D). Hence, this study aimed to describe and evaluate the methodological quality of AI based predicti...
Artificial Intelligence Diabetes Mellitus, Type 2 Humans
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Hypothesis: Net benefit as an objective function during development of machine learning algorithms for medical applications.

International journal of medical informatics Feb 23, 2025
Net benefit is the most widely used metric for evaluating the clinical utility of medical prediction models. The approach applies decision analytic theory to weight true and false positives depending on the relative consequences of different decision...
Algorithms Humans Machine Learning
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