arXiv:2607. 09253v1 Announce Type: cross Abstract: AI chatbots are increasingly used for answering health-related questions.
By Gwenn Beets, Anniek Jansen, Saar Hommes, Ruben D. Vromans, Leonie Westerbeek, Supraja Sankaran, Julia C. M. van Weert, Emiel J. Krahmer, Nadine Bol
arXiv:2606. 20605v2 Announce Type: replace-cross Abstract: Background: Generative artificial intelligence (GenAI) is increasingly used for health information, yet its influence on users' trust calibration remains unclear.
By Arif Ahmed, Gondy Leroy, Agrim Sachdeva, Philip Harber, Stephen A. Rains, Seokjun Youn, Prosanta Barai
arXiv:2606. 08483v1 Announce Type: new Abstract: Background: Consumer-facing large language models are now a common source of health information, and they interpret and personalize responses rather than retrieve them.
By Rahul Gorijavolu, Kaushik Madapati, Pritika Vig, Rawan Abulibdeh, Nikhil Jaiswal, Mahri Kadyrova, Zeamanuel Hailu Tesfaye, Charles Senteio, Paula Maurutto, Leo Anthony Celi
arXiv:2608. 07511v1 Announce Type: cross Abstract: Background.
By Dorothee Amelung, Andrew M. Bean, Sabine C. Herpertz, Felix H. Krones, Guy Parsons, Adam Mahdi, Isabella Schneider
arXiv:2606. 27302v1 Announce Type: cross Abstract: AI healthcare chatbots are increasingly used to support health information seeking and self-management, yet their performance and impact on users remains to be studied.
By Muhammad Hassan, Ramazan Yener, Ece Gumusel, Masooda Bashir
arXiv:2606. 31616v1 Announce Type: new Abstract: Medical Artificial Intelligence (AI) is widely expected to transform clinical practice, yet the decision-making processes of many Machine Learning (ML) models remain opaque.
By Martina Mattioli, Marcello Pelillo