Results 121 to 130 of about 5,919,808 (365)
Implementation ScienceArtificial intelligence (AI), particularly generative AI, has emerged as a transformative tool in healthcare, with the potential to revolutionize clinical decision-making and improve health outcomes.
S. Reddy
semanticscholar +1 more source
SNUPN‐Related Muscular Dystrophy: Novel Phenotypic, Pathological and Functional Protein Insights
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective SNUPN‐related muscular dystrophy or LGMDR29 is a new entity that covers from a congenital or childhood onset pure muscular dystrophy to more complex phenotypes combining neurodevelopmental features, cataracts, or spinocerebellar ataxia. So far, 12 different variants have been described.
Nuria Muelas +18 more
wiley +1 more source
What ‘Postdigital’ Means to Us: Roundtable with Members of the Centre for Postdigital Cultures
Anglica. An International Journal of English StudiesFacilitated by the sixth author, this roundtable was conducted on 24 January 2024, at Coventry University. It brings together members of the Centre for Postdigital Cultures, Coventry University, from the centre’s five core research strands ...
Janneke Adema +6 more
doaj +1 more source
Asian Journal of PhilosophyAbstract Under what conditions would an artificially intelligent system have wellbeing? Despite its clear bearing on the ethics of human interactions with artificial systems, this question has received little direct attention. Because all major theories of wellbeing hold that an individual’s welfare level is partially determined by their ...
Simon Goldstein +1 more
openaire +2 more sources
Applied SciencesIntegrating Artificial Intelligence (AI) in healthcare represents a transformative shift with substantial potential for enhancing patient care. This paper critically examines this integration, confronting significant ethical, legal, and technological ...
Steven M. Williamson, Victor R. Prybutok
semanticscholar +1 more source
Trust in AI: progress, challenges, and future directions [PDF]
Humanities and Social Sciences CommunicationsThe increasing use of artificial intelligence (AI) systems in our daily lives through various applications, services, and products highlights the significance of trust and distrust in AI from a user perspective.
Saleh Afroogh +4 more
semanticscholar +1 more source
Prediction Model for Etiologic Differentiation of Isolated Vestibular Syndrome in Emergency Settings
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective This study aimed to develop and validate a predictive model for differentiating central from peripheral etiologies in patients with isolated vestibular syndrome (VS). Methods In this multicenter retrospective cohort study, 506 patients with isolated VS from five hospitals were divided into derivation (n = 301) and validation (n = 205)
Guo Wenting +12 more
wiley +1 more source
AbstractThis perspective piece calls for the study of the new field of Intersymbolic AI, by which we mean the combination of symbolic AI, whose building blocks have inherent significance/meaning, with subsymbolic AI, whose entirety creates significance/effect despite the fact that individual building blocks escape meaning.
openaire +3 more sources
From local explanations to global understanding with explainable AI for trees
Nature Machine Intelligence, 2020 Scott M. Lundberg +9 more
semanticscholar +1 more source
A Turing test of whether AI chatbots are behaviorally similar to humans
Proceedings of the National Academy of Sciences of the United States of AmericaSignificance As AI interacts with humans on an increasing array of tasks, it is important to understand how it behaves. Since much of AI programming is proprietary, developing methods of assessing AI by observing its behaviors is essential.
Qiaozhu Mei +3 more
semanticscholar +1 more source