Artificial Intelligence Medical Compendium

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

Showing 9,471 to 9,480 of 208,566 articles

Importance ranking and predictive model construction of WMSDs risk factors among shift-working nurses based on multiple machine-learning algorithms.

BMC nursing
BACKGROUND AND OBJECTIVE: Nurses are essential for safeguarding public health, and their physical condition directly affects care quality and patient safety. Work-related musculoskeletal disorders (WMSDs) are highly prevalent in this workforce and ma... read more 

Integration of artificial ıntelligence into primary school classrooms: the role of ChatGPT in ımproving poetry writing skills and attitudes towards poetry.

BMC psychology
The primary purpose of this study is to investigate the impact of using ChatGPT as a feedback mechanism on enhancing primary school students' poetry writing skills and attitudes towards poetry. In this study, a quasi-experimental design model with a ... read more 

Machine-learning algorithms identifies sTREM1 has a key biomarker for outcome prediction in critically ill.

Critical care (London, England)
INTRODUCTION: Prognostic assessment in critically ill patients traditionally relies on severity scores or single biomarkers, each with limited ability to capture the biological heterogeneity of critical illness. OBJECTIVE: To compare the prognostic p... read more 

Automated dicentric scoring system in Singapore nuclear research and safety initiative.

Annals of the ICRP
The dicentric chromosome assay (DCA) serves as the gold standard for quantifying ionising radiation exposure in individuals. However, the conventional manual scoring method for DCA is both time-consuming and mentally demanding. Consequently, numerous... read more 

Nanomedicine-based cancer immunotherapy: translational barriers, mechanistic strategies, and future perspectives.

Drug delivery
Nanomedicine-based cancer immunotherapy integrates nanotechnology with immune modulation, representing a promising strategy to improve both the efficacy and safety of cancer treatment. Despite substantial preclinical potential, clinical translation i... read more 

Advances in immune checkpoint inhibitor therapy for microsatellite instability-high (MSI-H) and mismatch repair-deficient (dMMR) colorectal cancer: Insights from the tumor immune microenvironment.

Advances in clinical and experimental medicine : official organ Wroclaw Medical University
This review systematically analyzes the relationship between the immune microenvironment characteristics of microsatellite instability-high (MSI-H) or deficient mismatch repair (dMMR) colorectal cancer (CRC) and the efficacy of immune checkpoint inhi... read more 

Identification of BMX as a Potential Biomarker for Rheumatoid Arthritis Based on WGCNA, Machine Learning, and Experimental Validation.

Immunological investigations
BACKGROUND: Rheumatoid arthritis (RA) is a chronic autoimmune disease needing reliable biomarkers. This study aimed to identify potential RA biomarkers using WGCNA and machine learning, and analyze their correlation with disease activity and STAT3. M... read more 

Multimodal Genotype-Phenotype Analysis in SMARCB1-Associated Developmental Disorders.

Genetics in medicine : official journal of the American College of Medical Genetics
PURPOSE: Variants in SMARCB1, encoding a core subunit of the BAF chromatin remodeling complex, are associated with intellectual developmental disorders, particularly Coffin-Siris Syndrome (CSS), though the genotype-phenotype spectrum remains incomple... read more 

Mutant-Initiated Structure-Guided Refinement Enables Second-Generation Compact IscB Genome Editors.

Chembiochem : a European journal of chemical biology
Compact RNA-guided nucleases such as IscB represent an attractive foundation for next-generation genome editors, yet their application in mammalian cells has been constrained by suboptimal activity. Here, instead of re-engineering enzymes, we establi... read more 

Stability Switching and Oscillation Regulation Strategies for Large-Scale Fractional-Order Neural Networks With Double Hubs and Multiple Delays.

IEEE transactions on cybernetics
Abnormal neuronal oscillations underlie various brain disorders; however, effective regulation remains challenging due to the inherent complexity of neural network (NN) dynamics. This article proposes a hub-targeted state-feedback control strategy ac... read more