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2,588 papers
The proposed pipeline offers a statistically validated, generalizable, and interpretable computational framework, representing a rigorous foundation toward automated oral cancer screening support.
The ethical foundations of AI in electrophysiology are examined, focusing on dataset bias, fairness, explainability, and accountability, and future horizons including digital twins, multimodal risk engines, and real time procedural guidance systems are highlighted.
Background Increasing integration of artificial intelligence (AI) into clinical workflows necessitates assessing how future healthcare professionals adapt to these technologies. Objectıve This study aims to determine the artificial intelligence literacy and anxiety levels of students at a Vocational School of Health Se...
This study proposes AMSSE-SwinTrans, a lightweight hybrid CNN-Transformer framework that combines adaptive multi-scale squeeze-and-excitation module with simplified transformer blocks employing multi-head self-attention, along with explainable AI (XAI) for clinical interpretation that establishes itself as a resource-e...
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Outcome-based contracts (OBCs) are emerging business models that can enhance returns from investments in artificial intelligence (AI) and digital transformation. This study identifies the barriers to OBC adoption to explain how organizations can overcome the digital paradox – the under-realization of value from dig...
Evidence from recent surveys, standards and industry reports indicates that AI can shorten detection and response times and reduce breach costs, but only when it is governed carefully and protected as a target in its own right.
The X3DCPPSAIL architecture and the contribution of the Artificial Intelligence (AI) assistant (Anthropic 2026) used throughout the development process to interpret the X3D specification, generate repetitive code structures, explain unfamiliar concepts, and validate design decisions are described.
StaticMalFiles is a heterogeneous dataset developed for research on static malicious file detection using machine learning techniques. Unlike benchmark datasets distributed with pre-extracted attributes, this dataset was constructed from raw benign and malicious files collected from publicly available repositories and...
Artificial intelligence (AI) is increasingly embedded in strategic business decision-making through predictive analytics, pattern recognition, forecasting, generative AI, and decision support systems. These capabilities expand organisational analytical capacity, but analytical capacity does not by itself constitute str...
Hybrid renewable energy systems (HRES) now sit at the centre of efforts to decarbonize electricity supply. The literature describing them has grown faster than anyone has organized it. Work on storage integration, optimization, artificial intelligence (AI) and digital energy management has accumulated largely in parall...
Alzheimer’s disease (AD) impacts the brain in multiple ways and has varied clinical features and progression. Sex differences exist in the epidemiology and fundamental biology of AD. Machine learning (ML) tools can integrate and analyze multiple biomarkers, improving AD diagnosis and prognosis. However, machine learnin...
Large language models (LLMs)-generated texts become increasingly similar to human writing. The purpose of this study was to examine (1) how individuals distinguish between human-written and LLM-generated texts, focusing on their judgment strategies; (2) the relationship between judgment strategies and detection acc...
General Science
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
A Blog post by Swiss AI Initiative on Hugging Face
In a new book, Professor Eric So explores how the technology affects our thinking skills.
Earth AI
GPT-Lab
· gpt-lab.eu
Oct 14, 2026
AI is moving beyond impressive demos. After World Summit AI 2026 in Amsterdam, GPT-Lab's Muhammad Waseem reflects on what organizations need to make AI agents reliable, responsible and genuinely useful in everyday work. The post Building trustworthy AI: The role of AI harnesses, intent contracts and evals appeared first on GPT-Lab.
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