Artificial Intelligence Medical Compendium

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

Showing 19,131 to 19,140 of 214,800 articles

Acoustics of depression.

Journal of affective disorders
BACKGROUND: The sound of speech reflects the speaker's mood in a way that may enable objective measurement of depression from speech audio recordings. As previous studies relied on volunteers without a diagnosis or selected subsets of acoustic featur... read more 

Geological and machine learning based landslide risk assessment in the context of community knowledge and perception.

Scientific reports
Aizawl, located in Mizoram, northeast India, faces persistent landslide risk due to fragile geology, steep terrain, and unregulated urban expansion. This study assesses the correspondence between community perceived landslide drivers and scientifical... read more 

Metabolic, demographic, and behavioral risk factors predict brain structural variability in the general population: an analysis of the human connectome project young adults.

Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology
BACKGROUND: Understanding whether commonly available metabolic, demographic, and behavioral factors can explain variability in brain structure may support the development of accessible predictive approaches. This study aims to evaluate the ability of... read more 

Operational 24-h PM2.5 forecasting using ensemble methods and open-access satellite data: application to Dakar, Senegal.

Environmental monitoring and assessment
Accurate short-term air quality forecasting is urgently needed in African megacities. Chronic PM2.5 pollution threatens public health in these cities. At the same time, ground-based monitoring infrastructure remains sparse. This study develops and ev... read more 

Dynamic stability-driven machine learning improves binding pose identification on human serum albumin.

Journal of computer-aided molecular design
Accurate identification of ligand binding modes on human serum albumin (HSA) is important for understanding drug-protein interactions that influence pharmacokinetics, including site-specific competition and protein-binding displacement. However, beca... read more 

Deciphering lipid biosynthesis and regulation in Isatis species through combined metabolomic and transcriptomic analysis.

BMC plant biology
Lipids play multifaceted roles beyond structure and storage, yet their diversity within medicinally important genera like Isatis is poorly characterized. This study conducted the integrated lipidomic and transcriptomic analysis of three Isatis specie... read more 

The role of AI-mediated learning contexts in the personality-self-directed learning relationship among Chinese medical undergraduates: a cross-sectional study.

BMC medical education
BACKGROUND: Self-directed learning (SDL) is a core competency in medical education. The emergence of generative artificial intelligence (AI) has reshaped technology-enhanced learning, yet it remains unclear how AI-related contextual factors interact ... read more 

Effectiveness of artificial intelligence-driven simulation in dental education: a systematic review and meta-analysis of learning outcomes.

BMC medical education
BACKGROUND: This systematic review and meta-analysis aimed to evaluate and quantitatively synthesize the effectiveness of artificial intelligence (AI)-driven simulation (ADS) technologies in improving learning outcomes in dental education. METHODS: T... read more 

Generative AI and knowledge management in health education: a cross-sectional study of students' digital literacy and attitudes from a developing-country context.

BMC medical education
BACKGROUND: Generative artificial intelligence (AI) is rapidly transforming higher education and digital learning. However, a scarcity of information remains regarding the students' perspectives on AI's role in education. We investigated AI-related k... read more 

In-depth serum proteomics atlas of COVID-19 defines a Severity-Resistance Index from a four-protein panel for disease severity and prognosis.

Journal of translational medicine
BACKGROUND: COVID-19 exhibits seasonal epidemics with high risk of mortality in vulnerable population. Identifying accurate parameters for predicting severity and adverse outcomes remains of great clinical significance. METHODS: An in-depth serum pro... read more