Artificial Intelligence Medical Compendium

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

Showing 12,551 to 12,560 of 210,436 articles

An explainable machine learning model for early pediatric sepsis prediction using cytokine and routine laboratory data.

Pediatric research
BACKGROUND: Early sepsis diagnosis in children remains challenging due to nonspecific presentations. This study aimed to develop an interpretable machine learning (ML) model to improve early prediction. METHODS: We conducted a retrospective cohort st... read more 

AI-induced never-skilling in medical education.

Nature medicine
The integration of artificial intelligence (AI) into medical training is accelerating faster than the educational frameworks designed to govern it. This Perspective identifies a risk that has received insufficient attention: that trainees who rely on... read more 

Domain adaptive uplift modeling across heterogeneous mental health cohorts.

iScience
Predicting who will deteriorate under stress is important for targeting mental-health support; yet, treatment-effect models are rarely tested across populations. We evaluate a domain-adaptive neural uplift model on three heterogeneous cohorts-medical... read more 

Applications of human-machine collaborative decision-making: A review of research with recent developments.

iScience
This study comprehensively reviews human-machine collaborative decision-making (HMCD) methods and applications across management science, the military, healthcare, and manufacturing. We propose a dual-layer analytical framework. The first layer decom... read more 

Surface-based brain age index reflects hematological impacts on cognitive development in children with beta-thalassemia major.

iScience
Children with beta-thalassemia major (β-TM) are at risk of neurodevelopmental or cognitive impairment. In this study, we developed SurfGNN, a surface-based graph neural network model, to estimate brain age from cortical morphological features extract... read more 

WaveMamba-Net: Dual-frequency adaptive wavelet state-space network for real-time pulse signal classification in wearable health monitoring.

iScience
Continuous cardiovascular monitoring via wearable devices is critical for early disease detection, yet existing pulse signal analysis methods struggle to achieve both high accuracy and real-time performance under noisy, imbalanced conditions. We prop... read more 

Curcumin alleviates depression-aggravated psoriasis by targeting MMP9-regulated apoptotic pathways.

iScience
Depression and psoriasis are highly comorbid, yet their shared molecular mechanisms remain poorly understood. Utilizing cross-sectional data from NHANES and Mendelian randomization (MR), a significant association and causal link between depression an... read more 

Quantitative Ergonomic Assessment of Long Handle Farming Tools Among Women Farmers Using Camera-Based Analysis.

Journal of agricultural safety and health
HIGHLIGHTS: Moderate handle lift angles (27°-56°) and handle lift heights (545-1111 mm) reduce hip/shoulder flexion. Lighter tools (<2.0 kg) lower MSD risk; heavier ones boost leverage for taller users. D-grip handles with natural curves enhance wris... read more 

Performance of Large Language Models in Answering Osteoporosis-Related Frequently Asked Questions: A Systematic Comparative Evaluation Based on International Associations.

Calcified tissue international
To systematically evaluate and compare the performance of large language models (LLMs) in answering osteoporosis-related frequently asked questions (FAQs) derived from international osteoporosis-related associations. A standardized question bank was ... read more