Results 41 to 50 of about 9,872,600 (246)

Engagement Patterns With an Artificial Intelligence Health Coach for Systemic Sclerosis Self‐Management: A Mixed Methods Study

Arthritis Care &Research, EarlyView.
Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah, Melanie Morris, Cristina Daraban, Sophia Johnson, Susan L. Murphy   +4 more
wiley   +1 more source

Encouraging human-AI collaboration in interactive learning environments

AI-empowered applications such as ChatGPT and other intelligent tutorial systems can bring opportunities for collaboration to interactive learning environments.
Rospigliosi, A., Thomas K.F. Chiu
core   +1 more source

Thinking the unthinkable: Generative AI for collaborative, intra-active policy analysis

Methodological Innovations
In this paper, we report an exploratory collaboration in data analysis between a human researcher and Generative AI (GenAI). Specifically, we reveal how human-AI collaboration might contribute to alternative interpretations in theory-informed policy ...
Danson Zheng, Ian Hardy
doaj   +1 more source

Beyond Visual Scoring: Computational Computed Tomography Analysis for High‐Resolution Computed Tomography–Based Quantification of Interstitial Lung Disease in Inflammatory Rheumatic Disease

Arthritis Care &Research, EarlyView.
Interstitial lung disease (ILD) is a significant cause of morbidity and mortality in patients with inflammatory rheumatic disorders (IRDs). High‐resolution computed tomography (HRCT) is widely considered the gold standard for the noninvasive assessment of ILD; however, its interpretation is constrained by substantial interobserver variability and the ...
Alexander Pfeil, Tobias Hoffmann, Ulf Teichgräber, Diane Renz, Denise Beckmann, Gunter Wolf, Nicole Schadewaldt, Bianca Lassen‐Schmidt   +7 more
wiley   +1 more source

From Synergy to Strain: Exploring the Psychological Mechanisms Linking Employee–AI Collaboration and Knowledge Hiding

Behavioral Sciences
As artificial intelligence (AI) becomes an integral part of organizational operations, collaboration between humans and AI is transforming employees’ work experiences and behavioral patterns.
Yi-Bin Li, Ting-Hsiu Liao, Chih-Hao Tsai, Tung-Ju Wu   +3 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

Latest Developments of Gesture Recognition for Human–Robot Collaboration

, 2021
Recently, the concept of human-robot collaboration has raised many research interests. Instead of robots replacing human operators in workplaces, human-robot collaboration is the direction that allows human operators and robots to work together. Although
Hongyi Liu, Wang, Lihui,, Liu, Hongyi,, Lihui Wang   +3 more
core   +1 more source

Employee–AI Collaboration and Career Sustainability: The Role of Job Crafting and AI Job Role Clarity

Behavioral Sciences
Artificial intelligence (AI) is reshaping the global labor market and creating both challenges and opportunities for employees. This study conceptualizes AI as a collaborative partner in the workplace and examines how employee–AI collaboration relates to
Huiling Jiang, Yuanyuan Zhang, Shumin Yan   +2 more
doaj   +1 more source

Founding Editorial: Neuro‐Drug Discovery

Neuro-Drug Discovery, EarlyView.
Wenbin Li
wiley   +1 more source

A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data

Advanced Engineering Materials, EarlyView.
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour, Prithwish Tarafder, Anton Wiberg, Huanyu Li, Johan Moverare, Patrick Lambrix   +5 more
wiley   +1 more source