Artificial intelligence (AI) is rapidly transforming both scientific inquiry and its societal applications, reshaping how knowledge is generated, evaluated, and used. In this presentation, Alina von ...
The growing population of bilingual children and lack of bilingual clinicians have created an increased need for reliable and accessible bilingual language assessment to accurately detect language ...
Objectives Structural MRI of the brain is routinely performed on patients referred to memory clinics; however, resulting radiology reports, including volumetric assessments, are conventionally stored ...
Large Language Models (LLMs) are recasting the relationship between humans & technology. There’s a complete transition in how we search, consume, and execute information on the web. LLMs are no longer ...
Purpose: to characterize the practices of speech-language-hearing pathologists in Chile, regarding speech perception assessment in children and adolescents. Methods: an exploratory cross-sectional ...
Large language models (LLMs) may assist in RoB2 implementation, although their effectiveness remains uncertain. Objective: This study aims to evaluate the accuracy of LLMs in RoB2 assessments to ...
The good linearity depicted in this plot indicates excellent agreement between manual scoring and fully automated scoring, showcasing the potential of the proposed system. In today’s increasingly ...
Guidelines, Counseling Practices, and Fertility Preservation Options for Childhood Cancer Patients in the Nordic-Baltic Region A significant proportion of RCC abstracts contain language inconsistent ...
The Office of Personnel Management last Friday quietly replaced the privacy impact assessment for the governmentwide email system it has been using to send mass email blasts to the entirety of the ...
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