Results 121 to 130 of about 11,087 (240)

AI language model applications for early diagnosis of childhood epilepsy based on unstructured first‐visit patient narratives: A cohort study

open access: yesEpileptic Disorders, EarlyView.
Abstract Objective Language serves as an indispensable source of information for diagnosing epilepsy, and its computational analysis is increasingly explored. This study assessed – and compared – the diagnostic value of different language model applications in extracting information.
Jitse Loyens   +5 more
wiley   +1 more source

Exploring the role of apolipoprotein ε4 in progressive myoclonic epilepsy type 1

open access: yesEpileptic Disorders, EarlyView.
Abstract Objective Progressive myoclonic epilepsy type 1 (EPM1) is a neurodegenerative disease caused by biallelic variants in the cystatin B (CSTB) gene. Despite a progressive course, phenotype severity varies among patients, even within families. We studied the potential role of APOE ε4 in modifying phenotypic diversity in EPM1, given its established
Janina Gunnar   +10 more
wiley   +1 more source

Grammatical inference and computational linguistics [PDF]

open access: bronze, 2009
Menno van Zaanen, Colin de la Higuera
openalex   +1 more source

Affective Dimensions in Maternal Voice During Child Feeding in Mothers With and Without Eating Disorder History—Findings From a Machine Learning Analysis of Speech Data

open access: yesEuropean Eating Disorders Review, EarlyView.
ABSTRACT Objective Eating disorder (ED) history may impact mother‐child communication during mealtimes and contribute to transgenerational transmission of ED. This study employed machine learning (ML) to identify speech characteristics during mother‐child feeding interactions, aiming for investigating whether vocalised affective characteristics differ ...
Jana Katharina Throm   +7 more
wiley   +1 more source

DeepSeek in Education: Exploring the Transformative Potential of AI‐Driven Educational Intelligence

open access: yesFuture in Educational Research, EarlyView.
ABSTRACT The integration of artificial intelligence into education remains challenged by issues of scalability, interpretability, and multimodal adaptability. DeepSeek's AI‐driven educational tools show potential to improve educational applications through advances in reasoning efficiency, lightweight deployment, and multimodal fusion.
Jian Liao, Fan Sun, Yajie Liu, Yuli Hu
wiley   +1 more source

Synonym‐based multi‐keyword ranked search with secure k‐NN in 6G network

open access: yesIET Networks, EarlyView., 2022
Abstract Sixth Generation (6G) integrates the next generation communication systems such as maritime, terrestrial, and aerial to offer robust network and massive device connectivity with ultra‐low latency requirement. The cutting edge technologies such as artificial intelligence, quantum machine learning, and millimetre enable hyper‐connectivity to ...
Deebak Bakkiam David, Fadi Al‐Turjman
wiley   +1 more source

Star Advantage: Employee Value Creation and Capture in the Age of Artificial Intelligence

open access: yesHuman Resource Management, EarlyView.
ABSTRACT The integration of generative artificial intelligence (AI) into knowledge work is fundamentally reshaping employee performance and value creation in ways that challenge conventional wisdom. Rather than performance disparities being reduced through AI adoption, we argue that they may increase as star employees leverage superior domain expertise
Matthew L. Call   +2 more
wiley   +1 more source

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