Results 101 to 110 of about 2,986,386 (301)

Accuracy of ChatGPT-3.5, ChatGPT-4o, Copilot, Gemini, Claude, and Perplexity in advising on lumbosacral radicular pain against clinical practice guidelines: cross-sectional study

Frontiers in Digital Health
IntroductionArtificial Intelligence (AI) chatbots, which generate human-like responses based on extensive data, are becoming important tools in healthcare by providing information on health conditions, treatments, and preventive measures, acting as ...
Giacomo Rossettini, Giacomo Rossettini, Silvia Bargeri, Chad Cook, Chad Cook, Chad Cook, Stefania Guida, Alvisa Palese, Lia Rodeghiero, Paolo Pillastrini, Paolo Pillastrini, Andrea Turolla, Andrea Turolla, Greta Castellini, Silvia Gianola   +14 more
doaj   +1 more source

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

Advanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source

Consensus on the research and application of artificial intelligence in coronary computed tomography angiography

Intelligent Medicine
Coronary computed tomography angiography (CCTA), which enables noninvasive assessment of luminal stenosis and atherosclerotic plaque components, has become the first-line technique for evaluating coronary artery disease.
Longjiang Zhang, Qian Chen, Chun Xiang Tang, Zhao Shi, Tongyuan Liu, Chunhong Hu, Bin Lu, Zhengyu Jin, Guangming Lu, Dianbo Cao, Xiangying Du, Xiaomin Duan, Xiangming Fang, Yinghui Ge, Xuechun Guan, Gulina Azati, Yingkun Guo, Yi He, Yang Hou, Zhihui Hou, Chunhong Hu, Hongjie Hu, Bin Hu, Zhengyu Jin, Cheng Li, Dong Li, Tao Li, Xiaohu Li, Guangming Lu, Hui Liu, Min Liu, Ting Liu, Tongyuan Liu, Bin Lu, Fajin Lu, Dan Mu, Pei Nie, Liqing Peng, Jianxing Qiu, Heshui Shi, Zhao Shi, Chunxiang Tang, Gang Wang, Gang Wang, Rongpin Wang, Ximing Wang, Yining Wang, Liming Xia, Bolin Wu, Jiang Wu, Yi Xiao, Xigang Xiao, Lei Xu, Yi Xu, Benqiang Yang, Qi Yang, Li Yuan, Xuchun Yuan, Wenjie Yang, Wei Yu, Lei Yin, Jiayin Zhang, Longjiang Zhang, Tong Zhang, Yonggao Zhang, Min Zhang, Qing Zhang, Yan Zhang, Lei Zhao, Minwen Zheng, Yumin Zhong, Hui Zhou, Fan Zhou, Li Zhu   +73 more
doaj   +1 more source

AI-Powered Recommendations for Travelers

Abstract— Traveling offers improved social value when travelers find individuals who match their social preferences. Traditionally, travel partners connect through social media groups, forums, or personal networks, but these methods often fail to provide personalized or effective solutions.
V, Devanarayanan, G S, Ajith
openaire   +2 more sources

University of Minnesota Presidential AI Task Force Report Administrative Operations Working Group Recommendations [PDF]

As AI becomes increasingly prevalent, the University must proactively balance its potential for greater efficiency and cost savings with responsible, ethical practices.
University of Minnesota. Presidential AI Task Force. AI in Administrative Operations Working Group
core  

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

Generative AI Recommendations for Environmental Sustainability: A Hybrid SEM–ANN Analysis of Gen Z Users in the Philippines

Information
Generative AI offers promising potential to promote environmental sustainability through personalized recommendations that influence individual behavior.
Victor James C. Escolano, Yann-Mey Yee, Wei-Jung Shiang, Alexander A. Hernandez, Do Van Nang   +4 more
doaj   +1 more source

The PRIMA Thesaurus for Materials Science and Engineering

Advanced Engineering Materials, EarlyView.
The PRIMA Thesaurus is a structured vocabulary designed to improve how materials science data is described and shared. Developed with input from multiple experts, it enables clear documentation of research workflows, data exchange, and reuse across platforms.
Rossella Aversa, Alexey Boubnov, Dario De Angelis, Catriona Eschke, Maximilian Kabbe, Felix Kraus, Mirco Panighel, Richard Thelen, Davide Valentinis   +8 more
wiley   +1 more source

User Acceptability and Adoption of AI-Generated Lifestyle Intervention Recommendations: Scoping Review and Theoretical Integration

Journal of Medical Internet Research
BackgroundArtificial intelligence (AI)–generated lifestyle recommendations are increasingly used to support health behavior change. However, AI advice does not necessarily mean that users will accept or adopt those recommendations. Although prior reviews
Mingjun Ma, Tiange Sui, Shuo Zhou, Lei Shi, Patrick W C Lau   +4 more
doaj   +1 more source

AI Outfit Recommendation System

The AI Outfit Recommendation System is an intelligent application that provides personalized fashion suggestions using image processing and machine learning techniques. The system analyzes user-uploaded images to extract features such as gender, body measurements, and skin tone, and combines them with user-selected occasions to generate suitable outfit
Nazrin Sakeer, Anoop R, Sheena K M
openaire   +1 more source