Results 121 to 130 of about 20,672 (253)
Abstract Background Artificial intelligence (AI) is becoming progresivelly important in health sciences. It is therefore indispensable to assess health science students’ views, attitudes, awareness, knowledge, literacy and anxiety levels related to AI.
Berna Deniz Kuntman +1 more
openaire +1 more source
Shaping the Future of Radiography Education: Lessons From ChatGPT and Generative AI
ChatGPT can provide structured guidance, support self‐assessment and scaffold learning processes that bridge classroom knowledge and clinical expectations. However, AI must be embedded in ways that uphold the core principles of radiographic practice: accuracy, reflective judgment, ethical reasoning, empathy and patient‐centred care.
Minh T. Chau +5 more
wiley +1 more source
ABSTRACT This article investigates the impact of coerced AI adoption on the psychological well‐being of academic staff within higher education institutions. Data were collected from a sample of 470 faculty members randomly selected from higher education institutions in Pakistan.
Muhammad Imran Qureshi +3 more
wiley +1 more source
ABSTRACT With the ongoing deployment of AI algorithms, managers do not know whether existing demand planning processes account for possible differences in human behavior when using AI‐based systems in comparison to legacy model‐based systems. This study examines how human behavior may differ when performing demand forecasting tasks due to the ...
Finnegan McKinley +3 more
wiley +1 more source
Research on artificial intelligence literacy among nursing professionals: a scoping review. [PDF]
Wang Q +5 more
europepmc +1 more source
Artificial Intelligence in Healthcare Literacy: Promise, Gaps, and Guardrails
N ...
openaire +3 more sources
Medical Literature in the Age of Artificial Intelligence
iNew Medicine, EarlyView.
Hunter Scott
wiley +1 more source
From Survival to Growth: Digital Strategies for Micro and Small Enterprises
ABSTRACT This study investigates the critical factors influencing Digital Transformation (DT) in micro, small, and medium enterprises (MSMEs) within the post‐pandemic context. Data were collected through an online survey of 341 respondents and analyzed using Partial Least Square Structural Equation Modeling (PLS‐SEM).
Andrej Přívara +4 more
wiley +1 more source
ABSTRACT Despite the importance of individuals' data‐driven mindset (DDM) in the digital transformation triggered by analytics and artificial intelligence (AI) in organizations, research on this concept remains scant. This study addresses this gap by conceptualizing DDM and shedding light on its antecedents and outcomes.
Minh Tay Huynh +2 more
wiley +1 more source
ABSTRACT This study extends absorptive capacity research by showing how corporate venture capital (CVC) investments enable corporate artificial intelligence (AI) adoption through collaboration pathways, delineated in four adoption archetypes that explain how heterogeneous AI knowledge is absorbed.
Louisa A. Müller +2 more
wiley +1 more source

