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Development and validation of risk prediction models for acute kidney disease in gout patients: a retrospective study using machine learning.
European journal of medical research
Jul 23, 2025
BACKGROUND: Limited research has been conducted on the prevalence of acute kidney injury (AKI) and acute kidney disease (AKD) in gout patients, as well as the impact of these renal complications on patient outcomes. This study aims to develop machine...
Evaluating AI-generated examination papers in periodontology: a comparative study with human-designed counterparts.
BMC medical education
Jul 23, 2025
OBJECTIVE: This study systematically evaluates the performance of artificial intelligence (AI)-generated examinations in periodontology education, comparing their quality, student outcomes, and practical applications with those of human-designed exam...
The future of artificial intelligence in gerontological nursing in Saudi Arabia.
BMC geriatrics
Jul 23, 2025
BACKGROUND: As a part of Vision 2030, Saudi Arabia initiated a health transformation program to enhance the quality and efficiency of healthcare services through digitizing the health sector and introducing various technological innovations.
Preoperative MRI-based radiomics analysis of intra- and peritumoral regions for predicting CD3 expression in early cervical cancer.
Scientific reports
Jul 23, 2025
The study investigates the correlation between CD3 T-cell expression levels and cervical cancer (CC) while developing a magnetic resonance (MR) imaging-based radiomics model for preoperative prediction of CD3 T-cell expression levels. Prognostic corr...
An explainable transformer model for Alzheimer's disease detection using retinal imaging.
Scientific reports
Jul 23, 2025
Alzheimer's disease (AD) is a neurodegenerative disorder that affects millions worldwide. In the absence of effective treatment options, early diagnosis is crucial for initiating management strategies to delay disease onset and slow down its progress...
Public hesitancy for AI-based detection of neurodegenerative diseases in France.
Scientific reports
Jul 23, 2025
Recent advances in artificial intelligence (AI) have made it possible to detect neurodegenerative diseases (NDDs) earlier, potentially improving patient outcomes. However, AI-based detection tools remain underutilized. We studied individual valuation...
Machine learning driven diabetes care using predictive-prescriptive analytics for personalized medication prescription.
Scientific reports
Jul 23, 2025
The increasing prevalence of type 2 diabetes (T2D) is a significant health concern worldwide. Effective and personalized treatment strategies are essential for improving patient outcomes and reducing healthcare costs. Machine learning (ML) has the po...
A new framework for mental illnesses diagnosis using wearable devices aided by improved convolutional neural network.
Scientific reports
Jul 23, 2025
Stress inherent in the modern world is considered one of the main causes of Mental Health Disorders (MHDs) that spread in every country around the world. These mental and behavioral problems primarily affect the mind and brain that change emotions an...
Perceptions and Attitudes of Chinese Oncologists Toward Endorsing AI-Driven Chatbots for Health Information Seeking Among Patients with Cancer: Phenomenological Qualitative Study.
Journal of medical Internet research
Jul 23, 2025
BACKGROUND: Chatbots driven by large language model artificial intelligence (AI) have emerged as potential tools to enhance health information access for patients with cancer. However, their integration into patient education raises concerns among on...
Innovative Mobile App (CPD By the Minute) for Continuing Professional Development in Medicine: Multimethods Study.
JMIR medical education
Jul 23, 2025
BACKGROUND: Many national medical governing bodies encourage physicians to engage in continuing professional development (CPD) activities to cultivate their knowledge and skills to ensure their clinical practice reflects the current standards and evi...
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