AI Medical Compendium Journal:
International journal of medical informatics

Showing 11 to 20 of 372 articles

Evaluating AI adoption in healthcare: Insights from the information governance professionals in the United Kingdom.

International journal of medical informatics Apr 4, 2025
BACKGROUND: Artificial Intelligence (AI) is increasingly being integrated into healthcare to improve diagnostics, treatment planning, and operational efficiency. However, its adoption raises significant concerns related to data privacy, ethical integ...
Artificial Intelligence Delivery of Health Care Attitude of Health Personnel Humans United Kingdom
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A systematic review of generative AI approaches for medical image enhancement: Comparing GANs, transformers, and diffusion models.

International journal of medical informatics Apr 1, 2025
BACKGROUND: Medical imaging is a vital diagnostic tool that provides detailed insights into human anatomy but faces challenges affecting its accuracy and efficiency. Advanced generative AI models offer promising solutions. Unlike previous reviews wit...
Algorithms Image Processing, Computer-Assisted Diagnostic Imaging Image Enhancement Humans Artificial Intelligence
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Automated detection of metastatic lymph nodes in head and neck malignant tumors on high - resolution MRI images using an improved convolutional neural network.

International journal of medical informatics Mar 30, 2025
PURPOSE: To develop an AI-based diagnostic model for assessing cervical lymph nodes in head and neck malignant tumors using MRI, enabling non-invasive pre-surgical metastasis diagnosis.
Lymph Nodes Head and Neck Neoplasms Neural Networks, Computer Aged Humans Lymphatic Metastasis Adult Male Sensitivity and Specificity Retrospective Studies Magnetic Resonance Imaging Middle Aged Female Image Interpretation, Computer-Assisted Convolutional Neural Networks
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A vision transformer-convolutional neural network framework for decision-transparent dual-energy X-ray absorptiometry recommendations using chest low-dose CT.

International journal of medical informatics Mar 28, 2025
OBJECTIVE: This study introduces an ensemble framework that integrates Vision Transformer (ViT) and Convolutional Neural Networks (CNN) models to leverage their complementary strengths, generating visualized and decision-transparent recommendations f...
Convolutional Neural Networks Absorptiometry, Photon Adult Male Middle Aged Tomography, X-Ray Computed Female Aged Neural Networks, Computer Bone Density Osteoporosis Humans
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Dermacen analytica: A novel methodology integrating multi-modal large language models with machine learning in dermatology.

International journal of medical informatics Mar 25, 2025
OBJECTIVE: To design, implement, evaluate, and quantify a novel and adaptable Artificial Intelligence-empowered methodology aimed at supporting a dermatologist's workflow in assessing and diagnosing skin conditions, leveraging AI's deep image analyti...
Dermatology Large Language Models Machine Learning Natural Language Processing Skin Diseases Humans Artificial Intelligence
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Associations of dietary patterns with serum 25(OH) vitamin D and serum anemia related biomarkers among expectant mothers: A machine learning based approach.

International journal of medical informatics Mar 24, 2025
BACKGROUND: Machine learning algorithms (MLA) gained prominence in nutritional epidemiology for analyzing dietary associations and uncovering intricate patterns within data. We explored dietary patterns associated with serum iron biomarkers and vitam...
Humans Female Adult Cross-Sectional Studies Machine Learning Biomarkers Pregnancy Anemia Diet Vitamin D Taiwan
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Ethical aspects and user preferences in applying machine learning to adjust eHealth addressing substance use: A mixed-methods study.

International journal of medical informatics Mar 23, 2025
BACKGROUND: Digital health interventions targeting substance use disorders are being increasingly implemented. Data science methodology has the potential to enhance involvement and efficacy of these interventions, though application may raise ethical...
Netherlands Surveys and Questionnaires Adult Substance-Related Disorders Focus Groups Humans Male Telemedicine Patient Preference Middle Aged Machine Learning Female Young Adult
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Development and validation of a machine learning prognostic model based on an epigenomic signature in patients with pancreatic ductal adenocarcinoma.

International journal of medical informatics Mar 22, 2025
BACKGROUND: In Pancreatic Ductal Adenocarcinoma (PDAC), current prognostic scores are unable to fully capture the biological heterogeneity of the disease. While some approaches investigating the role of multi-omics in PDAC are emerging, the analysis ...
Carcinoma, Pancreatic Ductal Tumor Suppressor Protein p53 CpG Islands Proto-Oncogene Proteins p21(ras) DNA Methylation Pancreatic Neoplasms Mutation Male Middle Aged Epigenomics Prognosis Female Humans Machine Learning
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Comparison of machine learning and logistic regression models for predicting emergence delirium in elderly patients: A prospective study.

International journal of medical informatics Mar 22, 2025
OBJECTIVE: To compare the performance of machine learning and logistic regression algorithms in predicting emergence delirium (ED) in elderly patients.
Delirium Emergence Delirium Prospective Studies Female Aged Humans Aged, 80 and over Machine Learning Male Logistic Models
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Using large language models as decision support tools in emergency ophthalmology.

International journal of medical informatics Mar 22, 2025
BACKGROUND: Large language models (LLMs) have shown promise in various medical applications, but their potential as decision support tools in emergency ophthalmology remains unevaluated using real-world cases.
Ophthalmology Humans Large Language Models Prospective Studies Decision Support Systems, Clinical
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