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artificial intelligence

19,316 papers

#artificial intelligence Open access Oct 2026

Exploring artificial intelligence usage preferences among medical students in Iran: a cross-sectional study

Abstract Artificial intelligence (AI) is increasingly integrated into medical education, offering opportunities to enhance learning, research, and clinical preparation. Although previous studies have explored medical students’ attitudes and acceptance of AI, evidence regarding their AI usage preferences remains limited...

Zahra Karimian, Arezoo Molazehi, Manijeh Hooshmandja · 0 citations
#artificial intelligence Open access Oct 2026

Consensus Embedding Geometry for Taxonomy Discovery in Psychological Domains

Psychological domains contain many constructs whose meanings are specified through natural-language definitions and examples. Organizing these vocabularies requires methods that connect semantic representations to interpretable categories and expose the effects of analytical choices. We present a researcher-guided fram...

Daniel S. Stutts, Jeffrey Humpherys, Ting Shen · 0 citations
#artificial intelligence Open access Oct 2026

Consciousness Criteria Are Not Continuity Criteria: The Subjective Continuity Problem for Theories of Consciousness and Artificial Minds

Theories of consciousness seek to explain what makes a system conscious, but they do not necessarily explain what makes a later conscious system the same subject as an earlier one. This article identifies this distinction as the Subjective Continuity Problem and examines its implications for consciousness science and a...

Kande Lekamalaya Senarath Dayathilake · 0 citations
#artificial intelligence Open access Oct 2026

Preliminary accuracy, inter- and intra-rater reliability of a 4-point cervical artery dissection diagnostic decision support tool in an ambulatory setting using real and simulated cases: a quality improvement project

Abstract Background Cervical artery dissection (CeAD) is a rare but life-threatening condition that commonly presents with non-specific symptoms such as neck and head pain, complicating early recognition in ambulatory care settings. The CeAD diagnostic decision support tool (DDST) is a 4-item assessment designed to ide...

Tyler H. Snodgrass, Zachary A. Cupler, Christopher James Farrell et al. · 0 citations
#artificial intelligence Open access Oct 2026

FAIR Research Data Management with NOMAD and FAIRmat

These slides accompanied an invited tutorial presented at TCO 2026 on 28 September 2026 in Leipzig, Germany. The presentation introduces NOMAD, a free, open-source research data management platform developed and operated by FAIRmat, a consortium of the German National Research Data Infrastructure (NFDI). NOMAD enables...

Ahmed E. Mansour · 0 citations

[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...

E S Liu, J Hong · 0 citations
#artificial intelligence Open access Oct 2026

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...

Adeel Salman · 0 citations

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...

Hugo Acosta · 0 citations

[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...

X Z Wang, W Han · 0 citations
#artificial intelligence Review Open access Oct 2026

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...

Deepti Sharma, Archana B. Saxena · 0 citations
#artificial intelligence Open access Oct 2026

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...

Subahar Mohan, N. Jegandurai, R. Amuthalakshmi · 0 citations
#artificial intelligence Review Jan 2027

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...

Maruoyan Shi, Mingxuan Liang, B. Hwang · 0 citations

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