Results 71 to 80 of about 5,796 (260)
Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.Abstract Purpose To evaluate and compare the performance of four general‐purpose large language models (LLMs) (ChatGPT‐5, Claude 4, Grok 4 and Gemini 2.5) in answering specialised clinical questions related to total knee arthroplasty (TKA) derived from the World Expert Meeting in Arthroplasty (WEMA). Methods This is a cross‐sectional comparative study.
Oriol Pujol +7 more
wiley +1 more source
11 Key Strategies in Using AI Chat GPT to Develop HOTS-Based Entrepreneurship Questionnaires
Qubahan Academic JournalDeveloping entrepreneurship assessment questions that measure higher-order thinking skills (HOTS) is a challenge that requires time and in-depth analysis. Artificial intelligence such as Chat GPT is here to simplify the process.
Almaida Vebibina +8 more
doaj +1 more source
The Physical, Emotional, and Autonomous Anthropomorphism of Service Chatbots
Psychology &Marketing, EarlyView.ABSTRACT Prior research on chatbot anthropomorphism has often treated it as a unidimensional construct, producing inconsistent findings regarding how human‐like design cues shape user responses. This study conceptualizes anthropomorphism as a multidimensional higher‐order perception comprising three distinct forms of anthropomorphic attribution ...
Yangjuan Hu, Fulya Acikgoz, Shubin Yu
wiley +1 more source
ÉTICA E INTELIGENCIA ARTIFICIAL: UN ANÁLISIS EN LA EDUCACIÓN SUPERIOR DE LA REPÚBLICA DOMINICANA
Étic@netLa irrupción de la Inteligencia Artificial en el ámbito científico ha traído un amplio debate. En la Educación superior, el uso del Chat GPT como asistente de escritura, ha provocado desconfianza frente la “integridad académica”.
Rita María Pérez Pérez +1 more
doaj +1 more source
Investigating the use of Chat GPT in higher education; Challenges and solutions [PDF]
Iranian Journal of Information Processing & ManagementConsidering the nature of the technology of software robots such as Chat GPT and their relationship with processing, retrieving and communicating knowledge and information, one of the areas that are affected by them is the field of higher education. This
Ali Saeidi +2 more
doaj +1 more source
Movement Disorders, EarlyView.Abstract Deep brain stimulation (DBS) effectively treats motor symptoms in movement disorders but often compromises speech through incompletely defined mechanisms. We conducted a PROSPERO‐registered systematic review and meta‐analysis of publications through August 2024 (CRD42024527738).
Elina Tripoliti +15 more
wiley +1 more source
Student Satisfaction with The Use of Chat-GPT as A Learning Resource
VocationalThis study investigates student satisfaction with the use of Chat-GPT as a learning resource in higher education. This study used a mixed methods approach, combining quantitative surveys and qualitative interviews to assess students' experiences and ...
Abdulnassir Yassin, Ashadi Bashir
doaj +1 more source
A Policy on Chat GPT in Publication
, 2023 Recently, journal editors (and academics generally) have become aware of a breakout headache, or perhaps a breakout boon they need to confront: Artificial intelligence, AI—specifically Chat GPT. This technology first appeared on November 30, 2022—about a year ago—and is already a major concern and attractant for academics and higher ed students ...
openaire +2 more sources
MatImageAgent: A Large Language Multimodal Agent for Materials Characterization Images
Materials Genome Engineering Advances, EarlyView.MatImageAgent, an LLM‐powered agent‐based system, automates materials science image analysis by task descriptions, shows high stability/accuracy, and boosts productivity by reducing programming needs. ABSTRACT Our study introduces MatImageAgent, an agent‐based system that employs large language models (LLMs) to completely automate the image analysis ...
Mingxi Jiang +6 more
wiley +1 more source
Materials Genome Engineering Advances, EarlyView.We present an automated framework for extracting structured information from scientific literature using hierarchical multi‐agent coordination. Applied to 1469 titanium‐based antibacterial coating papers, MatInform achieves F1 = 0.905 and enables knowledge graph construction, model fine‐tuning, and interpretable SHAP‐based materials analysis.
Jiaojiao Su +7 more
wiley +1 more source