AI Medical Compendium Journal:
International journal of medical informatics

Showing 51 to 60 of 372 articles

The feasibility of using machine learning to predict COVID-19 cases.

International journal of medical informatics Jan 23, 2025
BACKGROUND: Coronavirus Disease 2019 (COVID-19), caused by the SARS-CoV-2 virus, emerged as a global health crisis in 2019, resulting in widespread morbidity and mortality. A persistent challenge during the pandemic has been the accuracy of reported ...
Global Health Incidence Feasibility Studies Reproducibility of Results SARS-CoV-2 Humans Machine Learning Pandemics COVID-19 Forecasting
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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...
Aged Male Middle Aged Prognosis Humans Female Ischemic Stroke Machine Learning
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Deep learning based prediction of depression and anxiety in patients with type 2 diabetes mellitus using regional electronic health records.

International journal of medical informatics Jan 22, 2025
BACKGROUND: Depression and anxiety are prevalent mental health conditions among individuals with type 2 diabetes mellitus (T2DM), who exhibit unique vulnerabilities and etiologies. However, existing approaches fail to fully utilize regional heterogen...
Depression ROC Curve Diabetes Mellitus, Type 2 Anxiety Case-Control Studies Deep Learning Male Middle Aged Electronic Health Records Female Aged Humans Retrospective Studies
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Hip prosthesis failure prediction through radiological deep sequence learning.

International journal of medical informatics Jan 22, 2025
BACKGROUND: Existing deep learning studies for the automated detection of hip prosthesis failure only consider the last available radiographic image. However, using longitudinal data is thought to improve the prediction, by combining temporal and spa...
Humans Neural Networks, Computer Female Hip Prosthesis Middle Aged Aged Deep Learning Male Prosthesis Failure
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Large language models vs human for classifying clinical documents.

International journal of medical informatics Jan 21, 2025
BACKGROUND: Accurate classification of medical records is crucial for clinical documentation, particularly when using the 10th revision of the International Classification of Diseases (ICD-10) coding system. The use of machine learning algorithms and...
Humans Natural Language Processing Systematized Nomenclature of Medicine International Classification of Diseases Machine Learning Algorithms Electronic Health Records Large Language Models
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Identification of an ANCA-associated vasculitis cohort using deep learning and electronic health records.

International journal of medical informatics Jan 17, 2025
BACKGROUND: ANCA-associated vasculitis (AAV) is a rare but serious disease. Traditional case-identification methods using claims data can be time-intensive and may miss important subgroups. We hypothesized that a deep learning model analyzing electro...
Cohort Studies Anti-Neutrophil Cytoplasmic Antibody-Associated Vasculitis Middle Aged Deep Learning Humans Algorithms Electronic Health Records Female Male
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The use of Artificial Intelligence Algorithms in drug development and clinical trials: A scoping review.

International journal of medical informatics Jan 16, 2025
BACKGROUND: Artificial Intelligence (AI) is transforming drug development and clinical trials, helping researchers find new treatments faster and personalize care for patients. By automating tasks like molecule screening and predicting treatment outc...
Clinical Trials as Topic Artificial Intelligence Humans Algorithms Drug Development
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Reducing reading time and assessing disease in capsule endoscopy videos: A deep learning approach.

International journal of medical informatics Jan 14, 2025
BACKGROUND: The wireless capsule endoscope (CE) is a valuable diagnostic tool in gastroenterology, offering a safe and minimally invasive visualization of the gastrointestinal tract. One of the few drawbacks identified by the gastroenterology communi...
Video Recording Capsule Endoscopy Gastrointestinal Diseases Humans Neural Networks, Computer Deep Learning
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Utilizing artificial intelligence and cellular population data for timely identification of bacteremia in hospitalized patients.

International journal of medical informatics Jan 10, 2025
BACKGROUND: Bacteremia is a critical condition with high mortality that requires prompt detection to prevent progression to life-threatening sepsis. Traditional diagnostic approaches, such as blood cultures, are time-consuming. This limitation has en...
Middle Aged ROC Curve Bacteremia Aged Male Humans Artificial Intelligence Machine Learning Female Hospitalization
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Investigating the role of large language models on questions about refractive surgery.

International journal of medical informatics Jan 6, 2025
BACKGROUND: Large language models (LLMs) are becoming increasingly popular and are playing an important role in providing accurate clinical information to both patients and physicians. This study aimed to investigate the effectiveness of ChatGPT-4.0,...
Refractive Surgical Procedures Female Humans Large Language Models Reproducibility of Results Language Comprehension Surveys and Questionnaires
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