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Health-economic evaluation of an AI-powered decision support system for anemia management in in-center hemodialysis patients.
BMC nephrology
Aug 28, 2025
BACKGROUND: The Anemia Control Model (ACM) is a decision support system powered by an artificial intelligence core designed to assist nephrologists in managing anemia therapy for in-center hemodialysis (HD) patients. This study aims to evaluate the c...
A comparative analysis of heterogeneity in lung cancer screening effectiveness in two randomised controlled trials.
Nature communications
Aug 28, 2025
Clinical trials demonstrate that screening can reduce lung cancer mortality by over 20%. However, lung cancer screening effectiveness (reduction in lung cancer specific mortality) may vary by personal risk-factors. Here we evaluate heterogeneity in l...
Foundation models in ophthalmology: a preliminary study on AI-assisted diagnosis of myopic maculopathy and posterior staphyloma using ultra-widefield fundus images.
BMJ open ophthalmology
Aug 28, 2025
OBJECTIVES: This study aims to detect characteristic fundus changes in pathological myopia using deep learning (DL)-based analysis of ultra-widefield (UWF) fundus imaging.
Evaluating the Feasibility of a Dyadic, Touch-Based Multimedia Tablet Intervention and Its Effects on the Caregiver-Patient Relationship Among Individuals With Mild Cognitive Impairment: Qualitative Triangulation Study.
JMIR aging
Aug 28, 2025
BACKGROUND: Approximately 20% of the global population is affected by mild cognitive impairment (MCI), with around 15% progressing to dementia within 2 years. Touch-based multimedia applications can support cognitive, social, and physical functioning...
Soft robotic gloves versus mirror therapy: a long-term comparative study on hand function and motor recovery in post-stroke rehabilitation.
Journal of rehabilitation medicine
Aug 28, 2025
OBJECTIVE: This study aimed to compare the long-term effects of soft robotic gloves (SRGs) and mirror therapy on hand function and motor recovery in post-stroke patients.
The critical effects of self-management strategies on predicting cancer survivors' future quality of life and health status using machine learning techniques.
PloS one
Aug 28, 2025
Despite the significance of enhancing the quality of life (QoL) and overall health status (including physical, mental, social, and spiritual well-being) among individuals who have survived cancer, the existing prediction model for QoL and health stat...
A heart failure classification model from radial artery pulse wave using LSTM neural networks.
BMC medical informatics and decision making
Aug 27, 2025
BACKGROUND: Heart failure (HF) represents a pressing global health issue demanding innovative and accessible approaches for early detection. Non-invasive, rapid, and cost-effective techniques utilizing deep learning (DL) hold significant promise for ...
Deep learning-based automatic facial symmetry scoring in peripheral facial palsy.
Scientific reports
Aug 27, 2025
Unilateral peripheral facial palsy (PFP) results in facial asymmetry and functional impairment, reducing quality of life. Accurate, objective assessment is vital for monitoring and rehabilitation. This study presents an automated method utilizes stan...
Deep learning for classifying imaging patterns of interstitial lung disease associated with idiopathic inflammatory myopathies.
Scientific reports
Aug 27, 2025
Diagnosing and classifying the imaging patterns of idiopathic inflammatory myopathies-associated interstitial lung disease (IIM-ILD) is a crucial but challenging task requiring specialized physicians' expertise. This study aims to develop and validat...
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...
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