Results 111 to 120 of about 5,796 (260)
Efficient triage and improved patient care: Five years of teledermatology in Styria
JDDG: Journal der Deutschen Dermatologischen Gesellschaft, EarlyView.Summary Background To improve dermatological care in underserved rural regions, the “Teledermatology in Styria” project launched on January 1st, 2020. General practitioners (GP) were digitally connected with dermatologists (DERM), supported by Styrian Health Fund, Styrian Medical Association, Austrian Health Insurance Fund Styria, Universities ...
Arzberger Edith +4 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 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
HEXACO, the Dark Triad, and Chat GPT: Who is willing to commit academic cheating? [PDF]
Heliyon, 2023 Greitemeyer T, Kastenmüller A.
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
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
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
European Journal of Dental Education, EarlyView.ABSTRACT Aims To investigate the usage, implications, and perceptions of ChatGPT among dental students and understand how students incorporate ChatGPT into their academic routines, as well as the perceived benefits and concerns. Methods An electronic survey was distributed to all students enrolled in the Bachelor of Dental Surgery (BDS) in New Zealand ...
Li Mei +5 more
wiley +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
European Journal of Dental Education, EarlyView.ABSTRACT Background Large language models (LLMs), including ChatGPT, Gemini and DeepSeek, are increasingly explored as supportive tools in health professions education. However, their educational utility across different knowledge domains and question formats, particularly those involving visual content, remains insufficiently understood.
Sedef Ayse Tasyapan, Didem Özer
wiley +1 more source