Results 171 to 180 of about 4,525,819 (292)
Leveraging large language models and embedding representations for enhanced word similarity computation. [PDF]
Peng X, Jiang H, Chen J, Liu M, Chen X.
europepmc +1 more source
ABSTRACT Objectives To compare four ultrasound models: O‐RADS US, IOTA Simple Rules (SR), Subjective Assessment (SA), and the Sequential SR–Subjective Assessment strategy (SR–SA) for classifying adnexal masses and to assess whether additional discrimination is possible within intermediate‐risk O‐RADS 3 lesions in a middle‐resource setting.
Carolina Meloni Stecca +3 more
wiley +1 more source
ABSTRACT Against the backdrop of calling for nonfemale‐oriented promotion of vaccination against human papillomavirus (HPV), this study explored three potential names—“HPV Vaccine,” “Cervical Cancer Vaccine,” and “Genital Warts Vaccine”—to promote vaccination against HPV infection among heterosexual men.
Timothy K. F. Fung +2 more
wiley +1 more source
Language biomarker screening using AI: a transdiagnostic approach to the brain. [PDF]
Themistocleous C, Stark BC.
europepmc +1 more source
ABSTRACT Introduction There is a growing evidence base supporting the utility of restitutive speech‐language treatments for individuals with primary progressive aphasia (PPA). In contrast, there is limited research investigating treatment approaches that offer counselling to this population.
Kristin Schaffer Mendez +6 more
wiley +1 more source
Retrieval of information to the left of the current fixation during reading Chinese. [PDF]
Li L, Gao M, Sui X, Gao X, Radach R.
europepmc +1 more source
ABSTRACT Background Artificial Intelligence (AI) is increasingly discussed as a tool that can support speech and language therapy (SLT). However, clinical adoption of AI requires improved AI literacy among clinicians. AI is a rapidly evolving and often inconsistently defined field that can be difficult to navigate.
Ana Oliveira‐Buckley +3 more
wiley +1 more source
Emotion meets coordination: Designing multi-agent LLMs for fine-grained user sentiment detection on social media. [PDF]
Dong H, Bao Z, Li M, Yang Z.
europepmc +1 more source
An Optimality-theoretic analysis of lexical blends in Korean
openaire +1 more source
Listen Closely: Measuring Vocal Tone in Corporate Disclosures
ABSTRACT We examine the usefulness of machine learning approaches for measuring vocal tone in corporate disclosures. We document a substantial mismatch between the widely adopted actor‐based training data underlying these approaches and speech in corporate disclosures.
Jonas Ewertz +3 more
wiley +1 more source

