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

Theme Issue: AI and ChatGPT in Dermatology (24) Innovations in Dermatological Electronic Health Records and Documentation (3) Viewpoints and Perspectives (619) Viewpoint (8) Chatbots and Conversational Agents (740) Generative Language Models Including ChatGPT (708) Artificial Intelligence (2129) Natural Language Processing (917)

Published on in Vol 7 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48451, first published .
Potential Use of ChatGPT in Responding to Patient Questions and Creating Patient Resources

Potential Use of ChatGPT in Responding to Patient Questions and Creating Patient Resources

Potential Use of ChatGPT in Responding to Patient Questions and Creating Patient Resources

Authors of this article:

Kelly Reynolds1 Author Orcid Image ;   Trilokraj Tejasvi1 Author Orcid Image
Article Authors Cited by (12) Tweetations (2) Metrics

Journals

  1. Liu S, Wright A, Mccoy A, Huang S, Genkins J, Peterson J, Kumah-Crystal Y, Martinez W, Carew B, Mize D, Steitz B, Wright A. Using large language model to guide patients to create efficient and comprehensive clinical care message. Journal of the American Medical Informatics Association 2024;31(8):1665 View
  2. Le K, Chen J, Mai D, Le K. An Evaluation on the Potential of Large Language Models for Use in Trauma Triage. Emergency Care and Medicine 2024;1(4):350 View
  3. Mikołajewski D, Piszcz A, Rojek I, Galas K. Machine Learning Supporting Virtual Reality and Brain–Computer Interface to Assess Work–Life Balance Conditions for Employees. Electronics 2024;13(22):4489 View
  4. Naldi L, Bettoli V, Santoro E, Valetto M, Bolzon A, Cassalia F, Cazzaniga S, Cima S, Danese A, Emendi S, Ponzano M, Scarpa N, Dri P. Application of ChatGPT as a content generation tool in continuing medical education: acne as a test topic. Dermatology Reports 2024;17(2) View
  5. Traylor D, Kern K, Anderson E, Henderson R. Beyond the Screen: The Impact of Generative Artificial Intelligence (AI) on Patient Learning and the Patient-Physician Relationship. Cureus 2025 View
  6. Biassoni F, Gnerre M. Exploring ChatGPT's communication behaviour in healthcare interactions: A psycholinguistic perspective. Patient Education and Counseling 2025;134:108663 View
  7. Giansanti D, Pirrera A. Integrating AI and Assistive Technologies in Healthcare: Insights from a Narrative Review of Reviews. Healthcare 2025;13(5):556 View
  8. Kaur A, Budko A, Liu K, Eaton E, Steitz B, Johnson K. Automating Responses to Patient Portal Messages Using Generative AI. Applied Clinical Informatics 2025;16(03):718 View
  9. Pereira D, Guisse N, Siddabattula R, Perugini J, Hosseinzadeh P. From algorithms to answers: a comparative analysis of popular search engines and large language models on clubfoot patient education. Journal of Pediatric Orthopaedics B 2025 View
  10. Bentegeac R, Le Guellec B, Kuchcinski G, Amouyel P, Hamroun A. Token Probabilities to Mitigate Large Language Models Overconfidence in Answering Medical Questions: Quantitative Study. Journal of Medical Internet Research 2025;27:e64348 View
  11. Hussain M, Hassan M, Taj T, Shah V. A Cross-Sectional Study Assessing the Suitability of ChatGPT and DeepSeek AI for Generating Patient Education Guides on Imaging Modalities in Stroke. Cureus 2025 View
  12. Faraji A, Faramarzi H, Razeghi M, Asadi N, Vafaei H, Kasraeian M. Comparing Artificial Intelligence and Obstetrics Residents in Answering Standardized Patient Questions Regarding Gestational Diabetes. Cureus 2025 View