Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 4,961 to 4,970 of 174,202 articles

Rethinking anticholinergic burden in older adults: innovative approaches to detection and management.

Expert review of clinical pharmacology
INTRODUCTION: Anticholinergic burden (AChB), the cumulative impact of medications with anticholinergic properties, is a modifiable risk factor linked to cognitive impairment, falls, and functional decline in older adults. Yet despite the availability... read more 

Acceptance of AI-Powered Chatbots Among Physiotherapy Students: International Cross-Sectional Study.

JMIR medical education
BACKGROUND: Artificial intelligence-powered chatbots (AI-PCs) are increasingly integrated into educational settings, including health care disciplines. Despite their potential to enhance learning, limited research has investigated physiotherapy (PT) ... read more 

Real-world data of CanAssist Breast- first immunohistochemistry and AI-based prognostic test.

Scientific reports
CanAssist Breast (CAB), an immunohistochemistry (IHC) and artificial intelligence-based prognostic test, was developed on Hormone receptor-positive (HR +), HER2/neu-negative (HER2-) breast tumors from Indian patients and validated in retrospective gl... read more 

Reliable models for calculating the condensation heat transfer inside smooth helical tubes of different flow directions utilizing smart computational techniques.

Scientific reports
Condensers with helical tubes have received much attention in diverse industries. The optimal design of the mentioned equipment necessitates predictive tools for calculating the condensation heat transfer coefficient (HTC). However, literature models... read more 

Dynamics of 4D supply chain system with fractal fractional derivatives insight of stability analysis and ANN prediction.

Scientific reports
This paper investigated 4D supply chain finance system utilizing fractal fractional derivatives with the generalized Mittag-Leffler kernel. The model incorporates key interactions between customer demand, distributor inventory, and retailer orders, c... read more 

Serological proteomic characterization for monitoring liver fibrosis regression in chronic hepatitis B patients on treatment.

Nature communications
Longitudinal serological proteomic dynamics during antiviral therapy (AVT) in chronic hepatitis B (CHB) patients with liver fibrosis remain poorly characterized. Here, using four-dimensional data-independent acquisition mass spectrometry (4D-DIA-MS),... read more 

Digital twins as self-models for intelligent structures.

Scientific reports
A self-model is an artificial intelligence that is able to create a continuously updated internal representation of itself. In this paper we use an agent-based architecture to create a 'digital twin self-model', using the example of a small-scale thr... read more 

Effectiveness of spiritual health-based interventions in improving health indicators of patients in Iran: a systematic review and meta-analysis.

BMC psychology
Spiritual health interventions have increasingly been recognized for their potential to improve general health outcomes. This study undertakes a systematic review and meta-analysis to evaluate their effectiveness on patient health in Iran. Data were ... read more 

Machine learning based screening of biomarkers associated with cell death and immunosuppression of multiple life stages sepsis populations.

Scientific reports
Sepsis is a condition resulting from the uncontrolled immune response to infection, leading to widespread inflammatory damage and potentially fatal organ dysfunction. Currently, there is a lack of specific prevention and treatment strategies for seps... read more 

Exploring the Application of AI and Extended Reality Technologies in Metaverse-Driven Mental Health Solutions: Scoping Review.

Journal of medical Internet research
BACKGROUND: Mental health systems worldwide face unprecedented strain due to rising psychological distress, limited access to care, and an insufficient number of trained professionals. Even in high-income countries, the ratio of patients to health ca... read more