Results 41 to 50 of about 63,655 (291)
Human–AI Collaboration in Architectural Design Education: Towards a Conceptual Framework
Rapid developments in artificial intelligence (AI) have prompted increasing attention to human–AI collaboration across various fields. This study focuses on the architectural design process and examines collaboration with generative AI (GenAI) within the
Şerife Hikmet, Nazife Ozay
doaj +1 more source
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos +2 more
wiley +1 more source
The New Dream Team? A Review of Human-AI Collaboration Research From a Human Teamwork Perspective
A new generation of information systems based on artificial intelligence (AI) transforms the way we work. However, existing research on human-AI collaboration is scattered across disciplines, highlighting the need for more transparency about the design ...
Braun, Marvin +2 more
core +1 more source
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 +3 more
doaj +1 more source
Clinical, Histologic, and Serological Predictors of Renal Function Loss in Lupus Nephritis
Objective Kidney survival is the ultimate goal in lupus nephritis (LN) management, but long‐term predictors remain inadequately studied, requiring long‐term follow‐up. This study aimed to identify baseline and early longitudinal predictors of kidney survival in the Accelerating Medicines Partnership LN longitudinal cohort.
Shangzhu Zhang +21 more
wiley +1 more source
Collaboration with artificial intelligence (AI) not only improves employees’ work efficiency but also provides them with opportunities to participate in other behaviors.
Jin-Qian Xu +3 more
doaj +1 more source
Human-AI Collaborative Uncertainty Quantification
AI predictive systems are increasingly embedded in decision making pipelines, shaping high stakes choices once made solely by humans. Yet robust decisions under uncertainty still rely on capabilities that current AI lacks: domain knowledge not captured by data, long horizon context, and reasoning grounded in the physical world.
Sima Noorani +3 more
openaire +2 more sources
Objective Studies of damage accrual in patients with systemic lupus erythematosus (SLE) show associations with disease activity measured by the SLE Disease Activity Index 2000 (SLEDAI‐2K), but these associations are imperfect. SLEDAI scores are powerfully influenced by weightings (1–8) assigned to each domain.
Kevin Zhang +8 more
wiley +1 more source
Enhancing Human-AI Collaboration through a Conversational Agent for Energy Efficiency
Among the many scenarios where humans and AI agents can collaborate, Energy Efficiency (EE) is one where such collaboration could most effectively contribute to the goal of net zero emissions, while also reducing costs and improving comfort.
Pinciroli Vago, Nicolò Oreste +4 more
core +1 more source
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 +4 more
wiley +1 more source

