artificial intelligence

[Research progress of artificial intelligence in the diagnosis and treatment of Fuchs endothelial corneal dystrophy].

Fuchs endothelial corneal dystrophy is an inherited corneal endothelial disease that primarily affects middle-aged and elderly individuals. Due to the absence of obvious clinical symptoms in its early stages, it is often missed in diagnosis. If such patients are not properly diagnosed prior to cataract or other intraoc...

The Doors We Did Not Know We Built: AI Welfare Claims, Private Behavioural Governance, and the Accountability of Agentic Systems

Anthropic’s October 2026 announcement of a model-directed anti-cruelty rule raises a question that cannot be answered by debating conversational manners alone: how should a private developer justify restrictions on people when the protected interest concerns the uncertain welfare of its own engineered system? This crit...

Hybrid search strategy (WOS and LLM-assisted) for lettuce (Lactuca sativa L.) photopriming and drought tolerance response. (Web of Science Core Collection).

Abstract This search strategy represents a hybrid methodology combining Artificial Intelligence (AI) semantic retrieval and database validation. Initially, Large Language Models (LLMs)-specifically OpenAI's ChatGPT and Google's Gemini-were queried using standardized natural language prompts focused on the intersection...

[Clinical applications and future perspectives of ultra-widefield swept-source optical coherence tomography angiography in ophthalmology].

Optical coherence tomography angiography (OCTA) is a noninvasive, depth-resolved imaging modality that visualizes ocular microvascular networks based on blood flow-related motion contrast, without exogenous contrast agents. Owing to its ability to provide high-resolution, layer-specific vascular information, OCTA has b...

From perception to practice: Faculty-led assessment redesign in response to generative AI in higher education

The rapid diffusion of Generative Artificial Intelligence (GenAI) tools such as ChatGPT into higher education has unsettled long standing assumptions about the validity, reliability, and authenticity of conventional assessment methods. Existing research has predominantly examined perceptions, ethical concerns, and tech...

Multiobjective optimization of foamed concrete for sustainable construction using statistical and artificial intelligence approaches

Abstract Foamed concrete is lightweight and insulating, but its mix design is a headache. Strength, durability, and carbon footprint all fight each other. This review looks at how researchers have tried to optimize these trade-offs using methods like RSM, Taguchi, ANN, and genetic algorithms. RSM is easy to interpret b...

From Automation to Coevolution: A Systematic Review of Human–AI Interaction Hierarchies and Professional Implications in the Construction Industry

Artificial intelligence (AI) is rapidly reshaping the construction industry, creating increasing reliance on human–AI interaction across project processes. Although previous research has made significant progress in applying AI across construction workflows, existing literature reviews lack a systematic analysis of h...

Artificial intelligence in sales (2017-early 2026): field consolidation and the rise of human-AI collaboration

Blockchain in the pharmaceutical supply chain

Regulatory non-compliance, fragmented traceability, and counterfeit drugs are ongoing problems for the pharmaceutical supply chain. To close these gaps, blockchain technology provides a transparent, tamper-proof, and decentralised platform that makes it possible for safe data sharing, automated compliance, and real-tim...

Continuity Science and Recoverability-Constrained Systems: A Unified Foundational, Mathematical, Constitutional, and Operational Framework for Living Systems and Future Continuity

This publication presents an integrated foundational, mathematical, constitutional, and operational framework for Continuity Science and Recoverability-Constrained Systems. The framework investigates the conditions under which identities, rights, relationships, protected interests, institutions, living systems, resourc...

Method core for "Response-length confounding in participant–morpheme networks: A length-controlled test in AI ethics education"

Data-free method core of the article "Response-length confounding in participant–morpheme networks: A length-controlled test in AI ethics education" (Computers and Education: Artificial Intelligence, 2026, 100685). The archive contains the closed-form counter of the six bipartite subgraph configurations and the shared-...

Artificial Intelligence Applied to Epigenomic Data in Leukemia: A Systematic Review of Diagnostic, Prognostic and Monitoring Models

Background: Epigenetic deregulation is a defining feature of leukemia, and DNA methylation and chromatin accessibility profiles encode the cell of origin, lineage and clinical behaviour of the disease. Artificial intelligence (AI) and machine learning (ML) can extract predictive patterns from these high-dimensional dat...