Artificial Intelligence Medical Compendium

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

Showing 9,661 to 9,670 of 208,614 articles

Machine learning models for predicting metabolic syndrome to support clinical decision-making in ART-treated adults living with HIV.

BMC medical informatics and decision making
BACKGROUND: Metabolic syndrome (MetS) is an emerging complication among people living with HIV (PLHIV) receiving long-term antiretroviral therapy (ART), particularly with protease and integrase inhibitor regimens. Early identification of high-risk in... read more 

SPARK: making ethical and societal tensions explicit in AI-supported precision medicine education.

BMC medical ethics
BACKGROUND: Precision medicine is often framed in terms of technical innovation and clinical promise, while its broader ethical and societal implications receive less attention in medical training. Addressing these issues requires formats that allow ... read more 

Comparative efficacy of six contemporary large language models in prosthodontic patient education: a multi-parameter blinded assessment.

BMC oral health
BACKGROUND: This study aimed to evaluate and benchmark the proficiency of six major large language models (LLMs)-specifically the versions publicly available as of March 2025 (ChatGPT-4o, Claude 3.7 Sonnet, Microsoft Copilot, DeepSeek-V2, Gemini 2.0,... read more 

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