Results 181 to 190 of about 44,692 (290)

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

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

Curriculum Guidelines for Social and Behavioral Sciences in Predoctoral Dental Education

Journal of Dental Education, EarlyView.
ABSTRACT Social and behavioral sciences are an integral part of predoctoral dental education, given the important role of social and behavioral factors in oral health, dentist‐patient communication, the provision of person‐centered care, and patients’ experience of dental treatment and their treatment outcomes.
Cameron L. Randall, Casey D. Wright, Dolores Cannella, Jessica G. Hinz, Daniel W. McNeil, Drashty P. Mody, Gary Pape, Yun Saksena, Vaishali Singhal, Lance Brendan Young, Stuart M. Schrader   +10 more
wiley   +1 more source

Assessing the Effect of Artificial Intelligence Anxiety on Turnover Intention: The Mediating Role of Quiet Quitting in Turkish Small and Medium Enterprises. [PDF]

Behav Sci (Basel)
Uygungil-Erdogan S, Şahin Y, Sökmen-Alaca Aİ, Oktaysoy O, Altıntaş M, Topçuoğlu V.   +5 more
europepmc   +1 more source

From regulatory mechanisms to cutting‐edge applications: Research progress of ultrasound, electrical, magnetic, and optical stimulation in neural modulation

Journal of Intelligent Medicine, EarlyView.
Abstract In recent years, the clinical treatment and symptom management of neurological disorders have faced significant challenges due to the high complexity of the nervous system's structure and function. Against this backdrop, physical stimulation techniques have emerged as a vital complementary approach to traditional pharmacological treatments and
Wanying Li, Liqun Chen
wiley   +1 more source

Development and validation of the student readiness and anxiety scale for AI-assisted biology teaching (SRAS-AIBT). [PDF]

Sci Rep
Kadirhanoğulları MK, Özay Köse E.
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

Artificial Intelligence: Readiness, Attitudes, and AI-Related Anxiety Among Oncology Nurses. [PDF]

Healthcare (Basel)
Dönmez E, Temiz G, Mete B, Marangoz E, Ortabağ T.   +4 more
europepmc   +1 more source