Results 211 to 220 of about 201,393 (313)

Clinician Practices in Determining Expected Body Weights Across Eating Disorders: A Mixed Methods Study

open access: yesEuropean Eating Disorders Review, EarlyView.
ABSTRACT Objective Eating disorder (ED) treatment often involves establishing expected body weights (EBWs). While individualised approaches are commonly used, whether and how EBWs are set across EDs, clinician perspectives on different approaches, and clinician training in this practice remain poorly understood.
Agatha A. Laboe   +8 more
wiley   +1 more source

Teacher‐Led Universal Eating Disorder Prevention Programmes in Schools: A Scoping Review

open access: yesEuropean Eating Disorders Review, EarlyView.
ABSTRACT Objective This scoping review seeks to evaluate the efficacy of teacher‐led interventions in mitigating risk factors related to eating disorders, considering the necessity for universal prevention programmes that can be effectively administered by educators.
Jessica Parker   +3 more
wiley   +1 more source

A Survey on Medical Competence Evaluation Benchmarks for Large Language Models

open access: yesHealth Care Science, EarlyView.
Our study presents a comprehensive review of the established methodologies and benchmarks for evaluating the medical competence of LLMs, encompassing a thorough analysis of current assessment practices across medical knowledge, clinical practice competence, and ethical–safety considerations.
Qiting Wang   +5 more
wiley   +1 more source

Preferences of Chinese Dermatologists for Large Language Model Responses in Clinical Psoriasis Scenarios: A Nationwide Cross‐Sectional Survey in China

open access: yesHealth Care Science, EarlyView.
In a nationwide survey of 1247 Chinese dermatologists, ChatGPT‐4o was the most preferred large language model (LLM) for psoriasis‐related clinical tasks. Accuracy emerged as the top evaluation criterion for LLM‐generated responses. All icons were made by Freepik and Maan Icons from https://www.flaticon.com/ ABSTRACT Background Large language models ...
Jungang Yang   +8 more
wiley   +1 more source

The Many Faces of Talent Management: Organizational Perspectives on Talent and Talent Management Practices in Jordan

open access: yesHuman Resource Development Quarterly, EarlyView.
ABSTRACT Talent management involves the systematic planning, acquisition, development, performance management, engagement, and retention of employees identified as “talent.” Little is known about the relationship between organizations' talent perspectives and talent management practices.
Amro Aljbour, Erica French, Muhammad Ali
wiley   +1 more source

Highly Educated, New Foreign Workers' Acculturation and Coping Mechanisms in a Large Korean Company

open access: yesHuman Resource Development Quarterly, EarlyView.
ABSTRACT The need for skilled foreign workers in South Korea (Korea hereafter) has grown substantially due Korea's changing workforce demographics, skill mismatch, transformation of business portfolios, and the pursuit of globalized business. As a result, large Korean companies have begun to recruit highly educated foreign workers for global talent ...
Dae Seok Chai
wiley   +1 more source

Developing a Typology of Korean Women Leaders' Resistance to Their Token Status in the Workplace

open access: yesHuman Resource Development Quarterly, EarlyView.
ABSTRACT Despite remarkable economic development in South Korea (Korea), there are only a few women leaders, and they face challenges in the gendered workplace where organizational constraints and traditional values coexist. In a reanalysis of narratives of Korean women leaders (KWLs), using an ideal‐type analysis as a novel qualitative research method,
Yonjoo Cho   +4 more
wiley   +1 more source

Research progress on the depth of anesthesia monitoring based on the electroencephalogram

open access: yesIbrain, Volume 11, Issue 1, Page 32-43, Spring 2025.
Electroencephalogram (EEG) can noninvasive, continuous, and real‐time monitor the state of brain electrical activity, and the monitoring of EEG can reflect changes in the depth of anesthesia (DOA). The development of artificial intelligence can enable anesthesiologists to extract, analyze, and quantify DOA from complex EEG data.
Xiaolan He, Tingting Li, Xiao Wang
wiley   +1 more source

Home - About - Disclaimer - Privacy