Artificial Intelligence Medical Compendium

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

Showing 4,941 to 4,950 of 174,202 articles

Advances in mitigating methane emissions from rice cultivation: past, present, and future strategies.

Environmental science and pollution research international
This paper analyzes methane emissions from rice cultivation, a major source of global methane (10-12% of emissions), driven by traditional flooding practices that create anaerobic conditions. Before 2000, continuous flooding was the dominant rice irr... read more 

Analyzing the vulnerabilities in Split Federated Learning: assessing the robustness against data poisoning attacks.

Scientific reports
Distributed Collaborative Machine Learning (DCML) offers a promising alternative to address privacy concerns in centralized machine learning. Split learning (SL) and Federated Learning (FL) are two effective learning approaches within DCML. Recently,... read more 

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 

Predictive value of anthropometric indices for incident of dyslipidemia: a large population-based study.

Population health metrics
INTRODUCTION: Dyslipidemia as a modifiable risk factor for chronic non-communicable diseases has become a worldwide concern. We aim to explore different anthropometric measures as predictors of dyslipidemia using various machine learning methods. read more 

AIP-TranLAC: A Transformer-Based Method Integrating LSTM and Attention Mechanism for Predicting Anti-inflammatory Peptides.

Interdisciplinary sciences, computational life sciences
Anti-inflammatory peptides (AIPs) have emerged as potential therapeutic candidates for managing various inflammatory disorders, but their computational identification remains challenging. We propose AIP-TranLAC, a novel deep learning framework that i... read more 

Machine learning-based construction of Immunogenic cell death-related score for improving prognosis and personalized treatment in glioma.

Scientific reports
Immunogenic cell death (ICD) is capable of activating both innate and adaptive immune responses. In this study, we aimed to develop an ICD-related signature in glioma patients and facilitate the assessment of their prognosis and drug sensitivity. Con... read more 

Human expert grading versus automated quantification of fluid volumes in nAMD, DME and BRVO.

Scientific reports
This study compared an automated deep learning algorithm with certified human graders from the Vienna Reading Center (VRC) in identifying intra- (IRF) and subretinal fluid (SRF) in OCT scans of patients treated for neovascular age-related macular deg... read more 

A lightGBM-based method for the signal quality assessment of wrist photoplethysmography.

Physical and engineering sciences in medicine
In the application of wrist-based Photoplethysmography (PPG) devices for health monitoring, assessing the quality of PPG signals is essential for accurately monitoring cardiovascular parameters. However, the wrist-based PPG signal is susceptible to m... read more 

The role of personality traits in predicting educational use of generative AI in higher education.

Scientific reports
Generative Artificial Intelligence (Gen-AI) systems offer significant opportunities for personalized learning in higher education. Studying the effects of personality traits on the use of Gen-AI is crucial for understanding the role of individual dif... read more 

Effectiveness of generative artificial intelligence-based teaching versus traditional teaching methods in medical education: a meta-analysis of randomized controlled trials.

BMC medical education
BACKGROUND: Artificial intelligence (AI) has demonstrated remarkable capabilities across diverse medical applications, potentially revolutionizing healthcare delivery systems. This systematic review and meta-analysis investigated the comparative effe... read more