Vocabulary knowledge at school entry provides an essential foundation for academic and literacy learning. Thus, school entry is an important timepoint to support word learning by children with develop...
In this pilot study, we taught preschool- and kindergarten-age children with DLD (...
The retrieval- and criterion-based approach was effective to support word learning for six of the seven children. Children demonstrated better learning and retention of forms than meanings. Additional...
A retrieval- and criterion-based approach is likely to support word learning during interventions for children with DLD. We include suggestions for future research to improve the effective and efficie...
Telehealth for paediatric speech and language therapy became one of the most salient modes of service delivery during the COVID-19 pandemic. Evidence for speech and language therapy services via teleh...
An online survey structured using the APEASE criteria was developed in collaboration with the UK Royal College of Speech and Language Therapists. Quantitative data were analysed using descriptive stat...
Four hundred and thirty-eight qualified and practicing UK paediatric SLTs completed the survey. Telehealth was broadly acceptable and practicable to SLTs yet there remains some uncertainty about its e...
Outcomes highlight promising, concerning and uncertain aspects of telehealth in paediatric speech and language therapy. SLTs value a flexible and tailored approach to service delivery and recommend th...
What is already known on this subject The COVID-19 pandemic led to the increased use of telehealth as a main mode of service delivery in paediatric speech and language therapy. Pre-COVID-19, evidence ...
To analyze the determining factors for using devices in vocal interventions and characterize their use by Brazilian speech-language pathologists (SLPs)....
This cross-sectional observational study had a sample of 148 SLPs with clinical practice in voice. They answered an online questionnaire via Google Forms about sociodemographic data, training, work in...
Tubes, straws, and masks were the most commonly used devices. SLPs specializing in voice are more inclined to use thermotherapy and kinesio tapings while being less inclined to use therapeutic ultraso...
The specialization, the time since graduation and in the occupation, and the target population of the service are the determining factors for the use of devices. They are used in vocal therapy and tra...
The aim of this prospective cohort study was to assess the factual accuracy, completeness of medical information, and potential harmfulness of incorrect conclusions by medical professionals in automat...
In the study, five different simplified versions of MRI findings of the knee of different complexity (A: simple, B: moderate, C: complex) were each created using ChatGPT. Subsequently, a group of four...
The evaluation of the medical specialists showed that the findings produced were consistent in quality depending on their complexity. Factual correctness, reproduction of relevant information and comp...
By using ChatGPT, MRI reports can be simplified automatically with consistent quality so that the relevant information is understandable to patients. However, a report generated in this way does not r...
Ethnic South Asian Americans have the highest relative risk of type 2 diabetes mellitus in the US. Culturally tailored and language-concordant diabetes care and nutrition interventions can potentially...
Natural language processing (NLP) may help evaluate the characteristics, prevalence, trajectory, treatment, and outcomes of behavioural disturbance phenotypes in critically ill patients....
We obtained electronic clinical notes, demographic information, outcomes, and treatment data from three medical-surgical ICUs. Using NLP, we screened for behavioural disturbance phenotypes based on wo...
We studied 2931 patients. Of these, 225 (7.7%) were NLP-Dx-BD positive for the agitated phenotype, 544 (18.6%) for the non-agitated phenotype and 667 (22.7%) for the combined phenotype. Patients with ...
NLP-Dx-BD screening enabled identification of three behavioural disturbance phenotypes with different characteristics, prevalence, trajectory, treatment, and outcome. Such phenotype identification app...
Numerous uveitis articles were published in this century, underneath which hides valuable intelligence. We aimed to characterize the evolution and patterns in this field....
We divided the 15,994 uveitis papers into four consecutive time periods for bibliometric analysis, and applied latent Dirichlet allocation topic modeling and machine learning techniques to the latest ...
The yearly publication pattern fitted the curve: 1.21335x...
In this century, a growing number of countries/regions/authors/journals are involved in the uveitis study, promoting the scientific output and thematic evolution. Our pioneering study uncovers the evo...
Written medical examinations consist of multiple-choice questions and/or free-text answers. The latter require manual evaluation and rating, which is time-consuming and potentially error-prone. We tes...
The European Board of Radiology of the European Society of Radiology provided representative datasets comprising sample questions, answer keys, participant answers, and reviewer markings from European...
After implementing the NLP approach in Python, F1 scores were calculated as a measure of NLP performance: 0.26 (unstructured question 1, n = 96), 0.33 (unstructured question 2, n = 327), and 0.5 (more...
This study showed the successful design of an NLP-based approach for automatic evaluation of free-text answers in the EDiR examination. Thus, as a future field of application, NLP could work as a deci...
Natural language processing can be successfully used to automatically evaluate free-text answers, performing better with more structured question-answer formats. Furthermore, this study provides a bas...
• Free-text answers require manual evaluation, which is time-consuming and potentially error-prone. • We developed a simple NLP-based approach - requiring only minimal effort/modeling - to automatical...
The current investigation evaluated the extent to which early noun, verb, and adjective lexicon sizes predicted later grammatical outcomes in Mandarin-speaking children with and without late language ...
In Study 1, the parents of 24 Mandarin-speaking children with typical language filled out the toddler version of...
Study 1 showed that verb lexicon size, but not noun or adjective lexicon size, at 24 months predicted grammatical complexity scores at 36 months for children with typical language. Study 2 revealed th...
Noun and verb lexicon size differentially predicted later grammatical outcomes in young Mandarin-speaking children with and without LLE. The finding suggested that children with LLE may have approache...
The role that individual difference factors play in pragmatic learning behavior has received increasing attention in second-language (L2) pragmatics. However, there is a dearth of studies exploring th...
