Results 151 to 160 of about 173,496 (289)

An Examination of Generation, Gender, and Race Centrality as Predictors of Stigma and Help‐Seeking Attitudes in African American Adults

Journal of Counseling &Development, EarlyView.
ABSTRACT Despite being more likely to encounter and endure higher levels of psychological distress, African American adults are less likely to seek mental health services. Yet previous research lacks an examination of within‐group differences among African Americans’ help‐seeking attitudes, particularly by generation, gender, or the centrality of race.
Sara Jean‐Philippe, Clare Merlin‐Knoblich, Demetrius Cofield   +2 more
wiley   +1 more source

Artificial intelligence anxiety, digital well-being, and future career concerns among engineering and information technology students in Jordan. [PDF]

Front Artif Intell
Al-Nasa'h M, Al-Tarawneh L, Alhwayan O.
europepmc   +1 more source

Annotated Bibliography: Anticipation [PDF]

, 2010
Nadin, Mihai
core  

Research Trends in Medical and Dental Education (2015–2024) Based on Author Keywords: Commonalities, Differences, and Opportunities for Collaboration

Journal of Dental Education, EarlyView.
ABSTRACT Objectives Medical and dental education share the common goal of preparing clinically competent and socially responsible health professionals. Despite this shared goal, the two disciplines have evolved as distinct academic fields, with limited empirical comparisons between them.
Yoon Min Gil
wiley   +1 more source

Artificial intelligence literacy and academic resilience in undergraduate nursing students: the mediating role of self-efficacy and artificial intelligence anxiety. [PDF]

BMC Nurs
Chen Y, Lv Z, Li X, Chen Y, Li W.
europepmc   +1 more source

Generative Artificial Intelligence–Driven Clinical Case Simulation in Temporomandibular Disorder Education: ChatGPT Versus Real Patients

Journal of Dental Education, EarlyView.
ABSTRACT Background Temporomandibular disorders (TMDs) and orofacial pain (OFP) demand advanced diagnostic and clinical reasoning skills in dental education. Traditional simulations with real patients face limitations in availability and standardization.
Paula Rodrigues‐Pereira, Maria Amália Pereira Dias‐Calças, Alex Moreira Mélo, Melissa de Oliveira Melchior, Lucas Gaspar Ribeiro, Antônio Pazin‐Filho, Jardel Francisco Mazzi‐Chaves, Laís Valencise Magri   +7 more
wiley   +1 more source

Evaluation of Panoramic Acquisition Errors by Predoctoral Dental Students

Journal of Dental Education, EarlyView.
Abstract Objectives Panoramic radiography is commonly used in the management of dental‐alveolar pathology. Novice clinicians are prone to technical errors that diminish the diagnostic quality of radiographs. The objective of this study was to analyze technical errors made during panoramic exposures by third‐year (D3) dental students in order to enhance
Zachary B. Featherstone, Xiaoxi Cui, Wenjian Zhang   +2 more
wiley   +1 more source

Artificial Intelligence Anxiety and Patient Safety Attitudes Among Operating Room Professionals: A Descriptive Cross-Sectional Study. [PDF]

Healthcare (Basel)
Ongun P, Sahin Koze B, Altinbas Y.
europepmc   +1 more source

Pre‐Imaging Clinical Factors Associated With Cardiac MR Image Quality Using Large Language Model‐Enabled Data Extraction

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Poor cardiac MR image quality can prompt repeat examinations and hinder clinical decision‐making. Purpose To evaluate whether pre‐imaging clinical information, extracted using a large language model (LLM), is independently associated with cardiac MR image quality. Study Type Retrospective.
Hong Yu, Masha Bondarenko, Ali Nowroozi, Yoo Jin Lee, Adrian Serapio, Punita Kaveti, Jae Ho Sohn   +6 more
wiley   +1 more source

Artificial Intelligence Integration in Radiation Therapy Education: A Multi‐Modal Approach

Journal of Medical Radiation Sciences, EarlyView.
Three artificial intelligence (AI) innovations were implemented in a radiation therapy degree to address a 130% enrolment increase. Students (n = 62) evaluated AI video lectures, assessment feedback, and communication simulations. Students strongly preferred AI for practice‐based learning over assessment, with communication simulations receiving 100 ...
Laura Feighan, Leah Cramp, Debra Lee, Yolanda Surjan   +3 more
wiley   +1 more source