AI, Brain and Child journal charts 2026 agenda from intersection to synthesis
The editors of AI, Brain and Child review their first volume of 20 articles and set a 2026 agenda aimed ...
The editors of AI, Brain and Child review their first volume of 20 articles and set a 2026 agenda aimed ...
Researchers have outlined a ten-rule pedagogical framework for training healthcare data teams in practical artificial intelligence using privacy-first experimentation, realistic ...
A mixed-methods study of 216 manufacturing firms and ten senior managers shows that digital routinization mediates capability formation, conditioned by ...
A new narrative review argues that AI-driven biosensors for antimicrobial resistance monitoring require claim-specific validation and controlled lifecycle management rather ...
Researchers evaluating text-to-image generative models found that automated tools struggle to reliably measure subtle gender-object stereotypes, often confounded by significant ...
A narrative review reveals that artificial intelligence tools for detecting depression show marked performance declines when evaluated in large cohorts ...
A systematic review of 46 environmental studies reveals that artificial intelligence relies on an interconnected resource nexus of electricity, cooling ...
A critical narrative review and evidence map reveals that clinical evidence demonstrating incremental patient benefits from artificial intelligence in robotic ...
Researchers developed SFMDet, an augmented YOLOv12-based framework combining state-space scanning and cross-attention to improve object detection across cluttered construction environments.
A systematic literature review using the PRISMA framework analyzes 91 primary studies on artificial intelligence applications in water quality monitoring ...
A study in Nature Machine Intelligence reveals that advanced reasoning models consistently expend greater computational effort when processing counter-stereotypical associations.
A patient-level simulation based on English clinical trial data indicates that artificial intelligence-assisted colonoscopy is projected to be cost-effective and ...
A study evaluating multimodal artificial intelligence on ten thousand Colombian vertebrate photographs reveals that identification accuracy declines sharply for species ...
A systematic review and meta-analysis indicates that magnetic resonance imaging artificial intelligence models achieve moderate discriminative performance for identifying affected ...
Researchers have developed NuWebKit, an open web-based simulation framework that combines artificial intelligence code generation with modular runtime mathematical modeling.
Researchers evaluated artificial intelligence across garment design records, consumer experiments, and enterprise cutting waste to examine sustainable apparel integration.
A deep learning biomarker using retinal photographs maps personalized lifespan trajectories to predict all-cause mortality and systemic disease risk across ...
A patient-specific AI-powered biophysical model predicted radiofrequency ablation volumes in hepatocellular carcinoma with a median relative volume difference of 0.39, ...
A theoretical perspective by roboticist Frank Kirchner demonstrates how Alan Turing's early work on embodiment provides an architectural roadmap for ...
A cross-sectional study of 128 caregivers found that an artificial intelligence chatbot called Daphne achieved high usability and trust while ...
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