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

Pilot studies (ehealth) (262) Computerized History Taking (7) Artificial Intelligence (1767) Decision Support for Health Professionals (1354) Clinical Information and Decision Making (1679)

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 (12) 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
  8. Robinson E, Qiu C, Sands S, Khan M, Vora S, Oshima K, Nguyen K, DiFronzo L, Rhew D, Feng M. Physician vs. AI-generated messages in urology: evaluation of accuracy, completeness, and preference by patients and physicians. World Journal of Urology 2024;43(1) View
  9. Wenhang S, Shenting Z, Shaohua C. Prospects for the development of medical professionalism education in the AI perspective: A qualitative study of Chinese postgraduate medical students’ written reflections. Medical Teacher 2025:1 View
  10. Graham C. Artificial intelligence vs human clinicians: a comparative analysis of complex medical query handling across the USA and Australia. Journal of Health Organization and Management 2025 View

Books/Policy Documents

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

Conference Proceedings

  1. Protrka N, Abazi B. 2024 47th MIPRO ICT and Electronics Convention (MIPRO). Artificial Intelligence in Health Care: Various Applications View