This paper is in the following e-collection/theme issue:

Pilot studies (ehealth) (215) Computerized History Taking (6) Artificial Intelligence (1421) Decision Support for Health Professionals (1210) Clinical Information and Decision Making (1434)

Published on in Vol 6, No 6 (2022): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37028, first published .
The AI Will See You Now: Feasibility and Acceptability of a Conversational AI Medical Interviewing System

The AI Will See You Now: Feasibility and Acceptability of a Conversational AI Medical Interviewing System

The AI Will See You Now: Feasibility and Acceptability of a Conversational AI Medical Interviewing System

Authors of this article:

Grace Hong1 Author Orcid Image ;   Margaret Smith1 Author Orcid Image ;   Steven Lin1 Author Orcid Image
Article Authors Cited by (9) Tweetations (4) Metrics

Journals

  1. Tanaka M, Matsumura S, Bito S. Roles and Competencies of Doctors in Artificial Intelligence Implementation: Qualitative Analysis Through Physician Interviews. JMIR Formative Research 2023;7:e46020 View
  2. Yang Y, Liu S, Lei P, Huang Z, Liu L, Tan Y. Assessing usability of intelligent guidance chatbots in Chinese hospitals: Cross-sectional study. DIGITAL HEALTH 2024;10 View
  3. Bücker M, Hoti K, Rose O. Artificial intelligence to assist decision-making on pharmacotherapy: A feasibility study. Exploratory Research in Clinical and Social Pharmacy 2024;15:100491 View
  4. Shapiro J, Lyakhovitsky A. Revolutionizing teledermatology: Exploring the integration of artificial intelligence, including Generative Pre-trained Transformer chatbots for artificial intelligence-driven anamnesis, diagnosis, and treatment plans. Clinics in Dermatology 2024;42(5):492 View
  5. Hindelang M, Sitaru S, Zink A. Transforming Health Care Through Chatbots for Medical History-Taking and Future Directions: Comprehensive Systematic Review. JMIR Medical Informatics 2024;12:e56628 View
  6. Nguyen M, Sedoc J, Taylor C. Usability, Engagement, and Report Usefulness of Chatbot-Based Family Health History Data Collection: Mixed Methods Analysis. Journal of Medical Internet Research 2024;26:e55164 View
  7. Auf H, Svedberg P, Nygren J, Nair M, Lundgren L. The use of artificial intelligence in mental health services to support decision-making: Scoping review (Preprint). Journal of Medical Internet Research 2024 View

Books/Policy Documents

  1. Felipe Mares Silva D, Huerta Barrientos A. Chatbots - The AI-Driven Front-Line Services for Customers. View