Artificial Intelligence Medical Compendium

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

Showing 21,121 to 21,130 of 216,348 articles

GATA3 mediates the cardioprotective effect of hydroxysafflor yellow a against septic cardiomyopathy: insights from integrated machine learning, WGCNA, and experimental validation.

Cytotechnology
UNLABELLED: Sepsis-induced cardiomyopathy represents a life-threatening complication arising from severe sepsis and septic shock. Hydroxysafflor yellow A (HSYA), a major quinone chalcone constituent, protects cardiac function in this disease. This st... read more 

Artificial intelligence in nursing education: knowledge, perceptions, and associated factors among Egyptian nursing students across universities.

BMC nursing
AIM: To assess Egyptian nursing students' level of AI knowledge, perceptions of AI benefits, and fears regarding AI in nursing education and practice, and to examine associated sociodemographic factors. BACKGROUND: The rapid integration of artificial... read more 

Breaking the culture habit: Complementing culture-based veterinary diagnostics with metagenomic data -A case study of feline and canine skin infections.

BMC veterinary research
BACKGROUND: Skin infections have been described as the primary cause for veterinary small animal practice visits, frequently requiring topical and systemic antibiotics. These infections often represent secondary complications of underlying pathologie... read more 

Diagnostic accuracy of machine learning approaches for suicide‑related outcomes: a meta‑analysis.

Annals of general psychiatry
OBJECTIVE: This diagnostic test accuracy meta-analysis aimed to provide clinically interpretable estimates (sensitivity, specificity, likelihood ratios (LR), predictive value (PV) and post‑test probabilities) for machine‑learning (ML) models predicti... read more 

Generative models for antimicrobial peptide design: auto-encoders and beyond.

BioData mining
BACKGROUND: As the number of multi-resistant pathogens grows rapidly, new strategies to accelerate the development of antimicrobial drugs are urgently needed. A promising candidate class of new antibiotics are antimicrobial peptides, showing a lower ... read more 

Prediction of intrinsic solubility for drug-like organic compounds using automated network optimizer (ANO) for physicochemical feature and hyperparameter optimization.

Journal of cheminformatics
Accurate prediction of aqueous solubility remains a critical challenge in the chemical and pharmaceutical industries, significantly influencing drug development and delivery. This study revisits this well-explored area by leveraging the advanced capa... read more 

Intracranial compliance monitoring using pulse shape index in traumatic brain injury: relation to cerebral physiology and clinical outcome.

Critical care (London, England)
BACKGROUND: The intracranial pressure (ICP) pulse waveform reflects intracranial compliance. The pulse shape index (PSI), an artificial intelligence (AI)-based metric ranging from 1 (normal) to 4 (disturbed), quantifies morphological waveform patholo... read more 

Nostalgia proneness and acceptance of AI-designed cultural products: the mediating role of perceived authenticity and the moderating role of need for uniqueness.

BMC psychology
Artificial intelligence is increasingly used to design cultural and creative products, yet consumer acceptance varies considerably. Personality traits may play a key role in shaping these responses, but research has not examined how nostalgia pronene... read more 

Exploring the prognostic role of senescence-related genes in gastric cancer through multi-omics integration and machine learning.

Human genomics
Cellular senescence plays a context-dependent role in gastric cancer (GC), functioning both through tumor-suppressive arrest and the tumor-promoting senescence-associated secretory phenotype. However, its systematic integration into prognostic models... read more