AI Medical Compendium Journal:
International journal of medical informatics

Showing 91 to 100 of 372 articles

Towards a Multi-Stakeholder process for developing responsible AI governance in consumer health.

International journal of medical informatics Nov 22, 2024
INTRODUCTION: AI is big and moving fast into healthcare, creating opportunities and risks. However, current approaches to governance focus on high-level principles rather than tailored recommendations for specific domains like consumer health. This g...
Consumer Health Informatics Humans Artificial Intelligence Stakeholder Participation
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Smart data-driven medical decisions through collective and individual anomaly detection in healthcare time series.

International journal of medical informatics Nov 17, 2024
BACKGROUND: Anomalies in healthcare refer to deviation from the norm of unusual or unexpected patterns or activities related to patients, diseases or medical centres. Detecting these anomalies is crucial for timely interventions and efficient decisio...
Clinical Decision-Making Unsupervised Machine Learning United Kingdom Humans Delivery of Health Care Electronic Health Records
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An interpretable machine learning scoring tool for estimating time to recurrence readmissions in stroke patients.

International journal of medical informatics Nov 16, 2024
BACKGROUND: Stroke recurrence readmission poses an additional burden on both patients and healthcare systems. Risk stratification aims to accurately divide patients into groups to provide targeted interventions at reducing readmission. To accurately ...
Humans Machine Learning China Retrospective Studies Time Factors Male Patient Readmission Female Stroke Middle Aged Recurrence Aged Aged, 80 and over Risk Assessment
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Recognition of autism in subcortical brain volumetric images using autoencoding-based region selection method and Siamese Convolutional Neural Network.

International journal of medical informatics Nov 16, 2024
BACKGROUND: Autism Spectrum Disorder (ASD) is a neurodevelopmental condition that affects social interactions and behavior. Accurate and early diagnosis of ASD is still challenging even with the improvements in neuroimaging technology and machine lea...
Adolescent Child Imaging, Three-Dimensional Magnetic Resonance Imaging Autistic Disorder Neuroimaging Humans Brain Female Male Neural Networks, Computer Algorithms Autism Spectrum Disorder
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Development and validation of a machine learning model to predict the risk of readmission within one year in HFpEF patients: Short title: Prediction of HFpEF readmission.

International journal of medical informatics Nov 14, 2024
BACKGROUND: Heart failure with preserved ejection fraction (HFpEF) is associated with elevated rates of readmission and mortality. Accurate prediction of readmission risk is essential for optimizing healthcare resources and enhancing patient outcomes...
Heart Failure Retrospective Studies Patient Readmission Female Humans Middle Aged Aged Risk Factors Risk Assessment Male Machine Learning ROC Curve Stroke Volume
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Predicting Fear of Breast Cancer Recurrence in women five years after diagnosis using Machine Learning and healthcare reimbursement data from the French nationwide VICAN survey.

International journal of medical informatics Nov 14, 2024
OBJECTIVE: A major concern for cancer survivors after treatment is the Fear of Cancer Recurrence (FCR), which is the fear that cancer will reappear or progress. This fear can be exacerbated by medical uncertainty about the future, leading to harmful ...
Female Aged Adult Humans Machine Learning Algorithms Cancer Survivors Insurance, Health, Reimbursement Neoplasm Recurrence, Local France Fear Breast Neoplasms Middle Aged Surveys and Questionnaires
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Data-driven explainable machine learning for personalized risk classification of myasthenic crisis.

International journal of medical informatics Nov 12, 2024
OBJECTIVE: Myasthenic crisis (MC) is a critical progression of Myasthenia gravis (MG), requiring intensive care treatment and invasive therapies. Classifying patients at high-risk for MC facilitates treatment decisions such as changes in medication o...
Middle Aged Risk Assessment Myasthenia Gravis Humans Machine Learning Aged Prospective Studies Female Adult Male
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Machine learning adjusted sequential CUSUM-analyses are superior to cross-sectional analysis of excess mortality after surgery.

International journal of medical informatics Nov 9, 2024
BACKGROUND: The assessment of clinical outcome quality, particularly in surgery, is crucial for healthcare improvement. Traditional cross-sectional analyses often fall short in timely and systematic identification of clinical quality issues. This stu...
Severity of Illness Index Hospital Mortality Surgical Procedures, Operative Cross-Sectional Studies Male Humans Postoperative Complications Machine Learning Algorithms Female
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A machine-learning-based algorithm for bone marrow cell differential counting.

International journal of medical informatics Nov 7, 2024
BACKGROUND: Differential counting (DC) of different cell types in bone marrow (BM) aspiration smears is crucial for diagnosing hematological diseases. However, a clinically applicable method for automatic DC has yet to be developed.
Algorithms Cell Count Bone Marrow Cells Humans Neural Networks, Computer Machine Learning
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Healthy nutrition and weight management for a positive pregnancy experience in the antenatal period: Comparison of responses from artificial intelligence models on nutrition during pregnancy.

International journal of medical informatics Nov 7, 2024
BACKGROUND: As artificial intelligence AI-supported applications become integral to web-based information-seeking, assessing their impact on healthy nutrition and weight management during the antenatal period is crucial.
Female Adult Cross-Sectional Studies Prenatal Care Humans Artificial Intelligence Pregnancy
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