AIMC Topic: Humans
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Predicting children and adolescents at high risk of poor health‑related quality of life using machine learning methods.
Health and quality of life outcomes
Aug 26, 2025
BACKGROUND: Existing research has identified health‑related quality of life (HRQoL) is influenced by a multitude of factors among children and adolescents. However, there has been relatively limited exploration of the multidimensional predictive fact...
Machine Learning-Driven radiomics on 18 F-FDG PET for glioma diagnosis: a systematic review and meta-analysis.
Cancer imaging : the official publication of the International Cancer Imaging Society
Aug 26, 2025
BACKGROUND: Machine learning (ML) applied to radiomics has revolutionized neuro-oncological imaging, yet the diagnostic performance of ML models based specifically on ^18F-FDG PET features in glioma remains poorly characterized.
Explainable machine learning identifies key quality-of-life-related predictors of arthritis status: evidence from the China health and retirement longitudinal study.
Health and quality of life outcomes
Aug 26, 2025
BACKGROUND: Arthritis is a prevalent chronic disease substantially impacting patients' quality of life (QoL). While identifying key determinants associated with arthritis is critical for targeted interventions, traditional statistical methods often s...
ADAMTS2 mediates epithelial‒mesenchymal transition and inflammation in high-grade serous ovarian cancer: a study based on bioinformatic analyses and experiments.
BMC cancer
Aug 26, 2025
BACKGROUND: The importance of epithelial‒mesenchymal transition (EMT) in tumour invasion and metastasis in high-grade serous ovarian cancer (HGSOC) has been highlighted in numerous studies, but genetic biomarkers for predicting EMT in HGSOC are still...
Exploring the potential relationship between kidney disease index and cognitive dysfunction: a machine learning approach with NHANES data.
BMC geriatrics
Aug 26, 2025
OBJECTIVE: This study investigates the relationship between the Kidney Disease Index (KDI) and cognitive function, evaluating its potential as a predictive marker for cognitive impairment in older adults. We also compare the performance of KDI with t...
Artificial intelligence-assisted quality control circles led by clinical pharmacists to improve the rational use of parenteral proton pump inhibitors among hospitalised patients.
Scientific reports
Aug 26, 2025
Proton pump inhibitors (PPIs) are a class of drugs that inhibit gastric acid secretion and are commonly overused in clinical practice. We developed a quality control circle (QCC) assisted by artificial intelligence (AI) and led by clinical pharmacist...
A comparative analysis of deep learning architectures for thyroid tissue classification with hyperspectral imaging.
Scientific reports
Aug 26, 2025
Hyperspectral imaging has shown significant applicability in the medical field, particularly for its ability to represent spectral information that can differentiate specific biomolecular characteristics in tissue samples. However, the complexity of ...
Screening of hub genes and immunocytes related to tendon injury based on bioinformatics and machine learning models.
Scientific reports
Aug 26, 2025
Tendon injury is a common and challenging clinical problem, and its healing process involves complex cellular and biological factors. Therefore, this study aims to reveal the mechanism of tendon healing and provide theoretical basis for clinical trea...
Supervised model based polycystic ovarian syndrome detection in relation to vitamin d deficiency by exploring different feature selection techniques.
Scientific reports
Aug 26, 2025
Due to urbanization and modern lifestyle, most of women in today's world are prone to Polycystic Ovarian Syndrome (PCOS), which is a hormonal disorder. Though the symptoms shown by this disease are often uncared, it seriously affects the reproductive...
Comparison of the number of peripapillary perforating scleral vessels between glaucomatous eyes and healthy eyes.
Scientific reports
Aug 26, 2025
This study aimed to compare the number of peripapillary perforating scleral vessels (PPSVs) between eyes with and without glaucoma. A retrospective case-control analysis was performed on patients with glaucoma and control participants who underwent s...
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