Results 111 to 120 of about 11,870 (260)

Features requirement elicitation process for designing a chatbot application

IET Networks, EarlyView., 2022
This article seeks to assist the chatbot community by outlining the characteristics that a chatbot needs to possess and explaining how to create a chatbot for a bank. In order to determine which capabilities are most crucial to ending users, a study of a small sample of chatbot users was conducted.
Nurul Muizzah Johari, Puteri N. E. Nohuddin, Ahmad Hanif Ahmad Baharin, Noor Azuddin Yakob, Mohammad Javad Ebadi   +4 more
wiley   +1 more source

Utilizing AI Chatbots in Higher Education Teaching and Learning

Journal of the Scholarship of Teaching and Learning
With the rapid societal emergence of generative artificial intelligence chatbots, calls for responsible use of AI permeate public voices. Higher education is no exception.
Laurie O. Campbell, Thomas D Cox
doaj  

Bloom's Taxonomy Reimagined for Generative AI in Dental Education: An Assessment Framework

Journal of Dental Education, EarlyView.
Vineet Dhar, Sergio E. Uribe
wiley   +1 more source

Building a Framework for the Digital Transformation of Italian Universities: Evidence From the University of Naples “Parthenope”

Strategic Change, EarlyView.
ABSTRACT This paper examines the digital transformation of universities, a category of knowledge‐intensive organizations (KIOs) increasingly pressured to invest in new technological tools for the development of innovative teaching and research processes and practices.
Stefano Marciano, Francesca Peluso, Rosita Capurro   +2 more
wiley   +1 more source

Artificial intelligence in traumatic stress treatment: The TRUST framework for ethical development, clinical applications, and research advancement

Journal of Traumatic Stress, EarlyView.
Abstract Posttraumatic stress disorder (PTSD) and depression are common diagnoses following traumatic events, with several available evidence‐based interventions to reduce symptomology. However, trauma populations face significant access barriers that limit their adoption and reach.
Leigh E. Ridings, Philip Held, Eric Kuhn, Shannon Wiltsey‐Stirman   +3 more
wiley   +1 more source

Should Dermatologists Recommend Direct‐to‐Consumer App‐Based Remote Diagnostics? An Ethical Analysis

JEADV Clinical Practice, EarlyView.
ABSTRACT Background Dermatology patients still face barriers in accessing timely specialist care. As direct‐to‐consumer (DTC) apps for remote dermatological diagnostics proliferate, guidance is lacking. While promising efficiency and efficacy, their clinical—and ethical—legitimacy is not yet well established.
Sonja Mathes, Sebastian Seurig, Theresa Willem, Marta Dechant, Stephan Traidl, Mina Kang, Pedro Marques Pinto, Annette Binder, Tilo Biedermann, Ulf Darsow   +9 more
wiley   +1 more source

Patient‐Centred Care in Atopic Dermatitis: Digital Communication, Misinformation, and Global Perspectives From the Pacecad Sessions (Isad Rajka Symposium, Melbourne 2025)

JEADV Clinical Practice, EarlyView.
ABSTRACT The PaCeCAD (Patient Centricity Care in Atopic Dermatitis) Sessions were held on Friday, October 24th, 2025, in Melbourne, Australia, as a conference‐format meeting during the first morning of the 15th Georg Rajka International Symposium on Atopic Dermatitis organized by the International Society of Atopic Dermatitis (ISAD).
Jean‐François Stalder, John C. Su, Fanny Sentenac, Mikael Alsterholm, Alpana Mohta, Hanof Ahmed, Pranvera Sulejmani, Kelly Barta, Kristin Bellenson, Fahafahantsoa Rapelanoro Rabenja, Tina Mesarič, Melanie Funk, Masaki Futamura, Kam Lun Ellis Hon, Kin Fon Leong, Laurent Elgard, David Troya, Alain Taïeb   +17 more
wiley   +1 more source

Artificial Intelligence in Dermatology: Current Applications and Future Directions

JEADV Clinical Practice, EarlyView.
This scoping review of 56 studies maps AI applications in dermatology. Image‐based classification for skin cancer detection dominates (48%), followed by clinical decision support (21%), teledermatology triage (11%), and predictive analytics (11%). While deep learning algorithms demonstrate diagnostic performance comparable to clinicians in controlled ...
Sofía Pérez‐Lalinde, Francisco Flores   +1 more
wiley   +1 more source

Four general‐purpose large language models (ChatGPT‐5, Claude 4, Grok 4 and Gemini 2.5) show comparable performance in specialised total knee arthroplasty clinical questions

Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose To evaluate and compare the performance of four general‐purpose large language models (LLMs) (ChatGPT‐5, Claude 4, Grok 4 and Gemini 2.5) in answering specialised clinical questions related to total knee arthroplasty (TKA) derived from the World Expert Meeting in Arthroplasty (WEMA). Methods This is a cross‐sectional comparative study.
Oriol Pujol, Robert Ferrer, Alex Coelho, Felix C. Oettl, Balint Zsidai, Joan Leal‐Blanquet, Michael T. Hirschmann, Kristian Samuelsson   +7 more
wiley   +1 more source

Perceived Support Is Not Psychological Change: Reframing AI Chatbots in Mental Health Care. [PDF]

JMIR AI
Mahat-Shamir M, Payes M, Kagan M.
europepmc   +1 more source