Artificial Intelligence Medical Compendium

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

Showing 24,871 to 24,880 of 217,472 articles

Deep learning for discriminating cochlear malformations on temporal bone CT.

Brazilian journal of otorhinolaryngology
OBJECTIVES: Diagnosis of cochlear malformation on temporal bone CT images is often difficult because the imaging findings are frequently subtle. Our aim was to assess the utility of deep learning analysis in diagnosing cochlear malformation on tempor... read more 

From generation to validation: Deep generative models for antimicrobial peptide discovery.

Current opinion in chemical biology
The global escalation of antibiotic resistance has renewed interest in antimicrobial peptides (AMPs) as promising alternatives to conventional antibiotics. Although extensive experimental evidence supports their effectiveness against drug-resistant p... read more 

The heterogeneous role of spatial configuration in shaping aboveground carbon storage of terrestrial ecosystems: Evidence from China.

Journal of environmental management
Intensive human activities have fundamentally altered the spatial configuration of terrestrial ecosystems. These changes disrupt carbon cycles and diminish terrestrial carbon sinks, thereby exacerbating climate change and challenging China's dual car... read more 

Algorithmic insights: How FDI sources, digital financial inclusion, and geopolitics collide in Pakistan's environmental landscape.

Journal of environmental management
The environmental effect of foreign direct investment is a much-discussed topic. Nevertheless, how foreign direct investment's country of origin can affect is a topic of salience for international business managers, policymakers, and researchers. Thu... read more 

Natural disasters and human migration in the United States: Insights from automated machine learning and explainable AI.

Journal of environmental management
The growing threats of natural disasters influence human migration at various spatio-temporal scales. This study examines how the four major disaster types (i.e., floods, hurricanes, wildfires, and tornadoes) relate to human migration in the contiguo... read more 

Research on the construction of an intelligent evaluation model for enhancing online English writing skills based on multiple factors.

Acta psychologica
To construct and validate an intelligent evaluation model for online English writing that integrates language proficiency, cognitive strategies, and technology interaction. A three-level indicator system was developed using the Delphi method. Analyti... read more 

Humanizing or mechanizing the self? How mindset moderates AI usage on employee self-perception and job crafting.

Acta psychologica
OBJECTIVE: To found out how employees interpret their roles and adjust their work in artificial intelligence (AI)-enabled contexts, this research examines the relationships between AI usage, employee self-perceptions, and job crafting, as well as the... read more 

Quantifying the Heterogeneity of TRUS-Visible Lesions for Predicting Prostate Cancer: A Multicenter Preliminary Study.

Academic radiology
RATIONALE AND OBJECTIVES: This study aimed to quantitatively characterize the heterogeneity of Transrectal ultrasound (TRUS)-visible lesions using subregional imaging analysis, and to develop and validate an intratumoral heterogeneity (ITH) model for... read more 

AI-driven Predictive Models in Endourological Treatment of Urolithiasis: A Systematic Review of Nomogram Applications from EAU Endourology.

European urology focus
BACKGROUND: Artificial intelligence (AI) is increasingly applied in endourology to enhance surgical planning, risk stratification, and outcome prediction. This systematic review evaluates AI-labelled prediction models predicting treatment-related out... read more 

Post-operative delirium risk estimation and assessment with machine learning: development and validation of the Open-DREAM Model: A peri-operative dataset analysis.

European journal of anaesthesiology
BACKGROUND: Postoperative delirium (POD) is a common and serious complication in older surgical patients, associated with increased morbidity, prolonged hospitalisation and increased healthcare costs. Existing predictive models have limited clinical ... read more