Artificial Intelligence Medical Compendium

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

Showing 44,441 to 44,450 of 224,055 articles

Applying machine learning to predict stunting in children under 5 years old based on water, sanitation and hygiene behaviors and infrastructure.

PloS one
OBJECTIVE: Child stunting continues to pose a substantial global health challenge, requiring multifaceted strategies that combine conventional epidemiological approaches with advanced analytic methods. The aim of this study was to determine the most ... read more 

MLGT: A multimodal graph attention network for virtual screening of anti-Uveitis drugs.

PloS one
Uveitis is a severe ocular inflammatory disease with complex immune-mediated pathogenesis, posing significant challenges for drug discovery. While artificial intelligence has accelerated virtual screening, existing models often inadequately integrate... read more 

Investigating the correlation between candidate teachers' acceptance of generative artificial intelligence and artificial intelligence literacy across various disciplines.

PloS one
This study examines Generative Artificial Intelligence (GenAI) acceptance and Artificial Intelligence Literacy (AIL) levels among prospective teachers, using variables for comparative analysis and identifying influencing factors. The research uses an... read more 

Measurement of urban vitality and the influence mechanism of the built environment on it based on multi-source data: A case study of Yantai City.

PloS one
Under a human-centered approach, accurately identifying the spatial patterns of urban vitality and revealing the mechanisms through which the built environment affects it can scientifically guide the organic cultivation of urban vitality. In light of... read more 

Cognitive load and teachers' innovative behavior in AI-enhanced English language instruction: A mediation analysis of technological adaptability.

PloS one
This investigation examines the complex interrelationships between teachers' cognitive load, technological adaptability, and innovative teaching behavior in AI-enhanced educational environments. Through the integration of Cognitive Load Theory, Techn... read more 

Cost-effectiveness analysis of artificial intelligence-assisted risk stratification of indeterminate pulmonary nodules.

PloS one
BACKGROUND: Artificial intelligence-based radiomic approaches have been shown to accurately evaluate indeterminate pulmonary nodules. With the expansion of lung cancer screening and utilization of computed tomography imaging, indeterminate pulmonary ... read more 

Image segmentation of cervical grainy sandy patches lesions associated with female genital schistosomiasis using deep convolutional neural network with U-NET architecture.

PLoS neglected tropical diseases
Female genital schistosomiasis (FGS) is a neglected but highly prevalent disease in sub-Saharan Africa, caused by Schistosoma haematobium egg-induced inflammation in the pelvic region. FGS is characterized by four mucosal lesion types in the lower fe... read more 

Integrated microwave cavity perturbation sensor for nondestructive estimation of moisture content of grains: A case study on wheat and chickpea.

PloS one
This study presents a low-cost, integrated microwave cavity perturbation sensor operating in TM010 mode at 2.45 GHz for the non-destructive estimation of moisture content (MC) in wheat and chickpea grains. Unlike conventional methods that rely on exp... read more 

Convolutional neural networks outperform other presence-only species distribution modeling algorithms.

Proceedings of the National Academy of Sciences of the United States of America
Species distribution models (SDMs) are essential tools for ecologists and conservationists because they can identify environmental determinants of species occurrences and predict species distributions. Unfortunately, most SDM algorithms rely on point... read more 

Reframing the Performance and Ethics of Empathic AI: Wisdom of the Crowd and Placebos.

Perspectives on psychological science : a journal of the Association for Psychological Science
Recently, claims have emerged that artificial intelligence (AI) is better at providing empathy than humans. These claims are based on experiments in which large language models were prompted to generate empathic responses to short emotional passages.... read more