Results 141 to 150 of about 33,394 (282)
Dental Traumatology, EarlyView.ABSTRACT Aim The aim of this study was to compare the accuracy and inter‐account consistency of two Google Gemini–powered, user‐facing workflows for dental trauma decision support: standalone Gemini chat and NotebookLM, a document‐grounded workflow that generates responses grounded in uploaded European Society of Endodontology and International ...
Nicolás Dufey‐Portilla +7 more
wiley +1 more source
Generative AI (gAI) in medical education: Chat-GPT and co. [PDF]
GMS J Med Educ, 2023 Moritz S, Romeike B, Stosch C, Tolks D.
europepmc +1 more source
Dental Traumatology, EarlyView.ABSTRACT Aim Prognosis prediction after tooth avulsion is challenging due to multiple interacting clinical factors. The agreement of conversational large language models with expert dentists, their sensitivity to prompt format, and the stability of their outputs over time remain unclear.
Mehmet Buldur, Gizem Ayan, Tugba Misilli
wiley +1 more source
Does Sequential Use of Multiple Chatbots Influence Emergency Guidance for Dental Avulsion?
Dental Traumatology, EarlyView.ABSTRACT Background/Aim Artificial intelligence–based chatbot systems are increasingly used for dental emergency guidance, yet the clinical value of sequential consultation remains unclear. This study investigated whether response order influences the quality of chatbot‐generated answers to permanent tooth avulsion questions. Material and Methods Eight
Mehmet Buldur, Berkant Sezer
wiley +1 more source
Bridging Borders, Bridging Barriers: Artificial Intelligence for Dental Education
European Journal of Dental Education, EarlyView.ABSTRACT The rapid convergence of Artificial Intelligence (AI), Information and Communication Technologies (ICT), and Assistive Technologies (AT) is transforming education, especially its accessibility and inclusivity. This commentary resulted from a think‐tank during a colloquium of academics and practitioners from Europe, Africa, and North America ...
Dieter J. Schönwetter +3 more
wiley +1 more source
Chat-GPT: Opportunities and Challenges in Child Mental Healthcare. [PDF]
Pak J Med Sci, 2023 Imran N, Hashmi A, Imran A.
europepmc +1 more source
European Journal of Dental Education, EarlyView.ABSTRACT Background Mock trials (MT) are simulations of courtroom proceedings and may serve as a tool to improve learning in inter‐professional education for health professionals. Aims and Objectives To design and implement a dental malpractice MT and simulation of mediation activity, involving dentistry and law students, and to identify the learning ...
Katerina Kavvadia +5 more
wiley +1 more source
Gender, Work &Organization, EarlyView.ABSTRACT This study examines how artificial intelligence (AI) reshapes gender dynamics in workplace negotiations. Adopting a technofeminist lens, we conceptualize gender–technology relations as mutually shaping and fluid. Using a convergent mixed‐methods design, participants negotiated job offers with an AI chatbot recruiter.
Sue H. Moon, Jing Betty Feng
wiley +1 more source
International Endodontic Journal, EarlyView.Abstract Aim To develop and evaluate an e‐learning tool utilizing a generative pre‐trained transformer (GPT), a form of artificial intelligence (AI), to allow for realistic conversation on virtual patients when undergoing training on how to diagnose diseases of endodontic origin, and to evaluate improvements in self‐perceived skills.
Marian Prinz +3 more
wiley +1 more source
International Endodontic Journal, EarlyView.ABSTRACT Aim This study investigates the impact of regular testing on learning outcomes in undergraduate endodontic education. Specifically, it examines whether students perform better at the end of the course on previously tested material compared to non‐tested material and explores the role of students' engagement and perceptions of testing in this ...
M. Kalyva +4 more
wiley +1 more source