AIMC Topic: Middle Aged
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Design and Validation of a Chatbot-Based Cervical Cancer Screening Decision Aid for Women Experiencing Socioeconomic Disadvantage: User-Centered Approach Study.
JMIR cancer
Jul 24, 2025
BACKGROUND: Cervical cancer (CC) screening participation remains suboptimal among vulnerable populations in France. This study aimed to develop and evaluate AppDate-You, a chatbot-based decision aid, to support women from socioeconomically disadvanta...
Adult
Uterine Cervical Neoplasms
Middle Aged
Vulnerable Populations
Humans
Decision Support Techniques
Female
Aged
Socioeconomic Factors
Early Detection of Cancer
France
Focus Groups
Socioeconomic Disparities in Health
Qualitative Research
Mobile Applications
Papillomavirus Infections
Generative Artificial Intelligence
Post-stroke aphasia analysis using topological alterations in brain functional networks.
Journal of neural engineering
Jul 24, 2025
. Nearly one-third of stroke patients develop aphasia. Although the function of classical language areas (e.g. Broca's area, Wernicke's area) has been widely characterized, the network reorganization mechanisms behind specific language dysfunctions i...
Clinical diagnostic and prognostic value of homocysteine combined with hemoglobin [f (Hcy-Hb)] in cardio-renal syndrome caused by primary acute myocardial infarction.
Journal of translational medicine
Jul 23, 2025
BACKGROUND: Cardio-renal syndrome (CRS), characterized by multi-organ interaction, is frequently overlooked in clinical practice. It poses significant challenges in treatment, leading to poor long-term prognosis and substantial economic burden on pat...
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...
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...
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...
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...
Leveraging stacked classifiers for exploring the role of hedonic processing between major depressive disorder and schizophrenia.
Psychological medicine
Jul 23, 2025
BACKGROUND: Anhedonia, a transdiagnostic feature common to both Major Depressive Disorder (MDD) and Schizophrenia (SCZ), is characterized by abnormalities in hedonic experience. Previous studies have used machine learning (ML) algorithms without focu...
Development and validation of an improved volumetric breast density estimation model using the ResNet technique.
Biomedical physics & engineering express
Jul 23, 2025
. Temporal changes in volumetric breast density (VBD) may serve as prognostic biomarkers for predicting the risk of future breast cancer development. However, accurately measuring VBD from archived x-ray mammograms remains challenging. In a previous ...
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