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

Editorial (50) Viewpoints and Perspectives (617) Digital Health, Telehealth and e-Innovation in Clinical Settings (544) Generative Language Models Including ChatGPT (677) Chatbots and Conversational Agents (722)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53225, first published .
Redefining Virtual Assistants in Health Care: The Future With Large Language Models

Redefining Virtual Assistants in Health Care: The Future With Large Language Models

Redefining Virtual Assistants in Health Care: The Future With Large Language Models

Authors of this article:

Emre Sezgin1, 2 Author Orcid Image
Article Authors Cited by (30) Tweetations (17) Metrics

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  4. Nagarajan R, Kondo M, Salas F, Sezgin E, Yao Y, Klotzman V, Godambe S, Khan N, Limon A, Stephenson G, Taraman S, Walton N, Ehwerhemuepha L, Pandit J, Pandita D, Weiss M, Golden C, Gold A, Henderson J, Shippy A, Celi L, Hogan W, Oermann E, Sanger T, Martel S. Economics and Equity of Large Language Models: Health Care Perspective. Journal of Medical Internet Research 2024;26:e64226 View
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  8. Sezgin E, Jackson D, Kocaballi A, Bibart M, Zupanec S, Landier W, Audino A, Ranalli M, Skeens M. Can Large Language Models Aid Caregivers of Pediatric Cancer Patients in Information Seeking? A Cross‐Sectional Investigation. Cancer Medicine 2025;14(1) View
  9. Sezgin E, Kocaballi A. Era of Generalist Conversational Artificial Intelligence to Support Public Health Communications. Journal of Medical Internet Research 2025;27:e69007 View
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  13. Sezgin E, Jackson D, Kaufman K, Skeens M, Gerhardt C, Moscato E. Perceptions about the use of virtual assistants for seeking health information among caregivers of young childhood cancer survivors. DIGITAL HEALTH 2025;11 View
  14. Wang Y, Zhu T, Zhou T, Wu B, Tan W, Ma K, Yao Z, Wang J, Li S, Qin F, Xu Y, Tan L, Liu J, Wang J. Hyper-DREAM, a Multimodal Digital Transformation Hypertension Management Platform Integrating Large Language Model and Digital Phenotyping: Multicenter Development and Initial Validation Study. Journal of Medical Systems 2025;49(1) View
  15. Liebetrau D, Densmore M, Nunes F. Engagement of Parents with the Aurora Child Health Chatbot: A Conversation Log Analysis Study. International Journal of Human–Computer Interaction 2025:1 View
  16. Baghel A, Pawar A, Hatwar J, Shrivastav D, Thakur D. Enhancing Virtual Assistance for Mental Health Support. International Journal of Preventive Medicine and Health 2025;5(4):21 View
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  18. Bucher A, Egger S, Vashkite I, Wu W, Schwabe G. “It’s Not Only Attention We Need”: Systematic Review of Large Language Models in Mental Health Care. JMIR Mental Health 2025;12:e78410 View
  19. Nagarajan R, Klotzman V, Kondo M, Godambe S, Gold A, Henderson J, Martel S. Taxonomy Portraits: Deciphering the Hierarchical Relationships of Medical Large Language Models. JMIR Medical Informatics 2025;13:e72918 View
  20. Hu Y, Liu J, Jiang W. Large language models in nephrology: applications and challenges in chronic kidney disease management. Renal Failure 2025;47(1) View
  21. Dennstädt F, Schmerder M, Riggenbach E, Mose L, Bryjova K, Bachmann N, Mackeprang P, Ahmadsei M, Sinovcic D, Windisch P, Zwahlen D, Rogers S, Riesterer O, Maffei M, Gkika E, Haddad H, Peeken J, Putora P, Glatzer M, Putz F, Hoefler D, Christ S, Filchenko I, Hastings J, Gaio R, Chiang L, Aebersold D, Cihoric N. Comparative Evaluation of a Medical Large Language Model in Answering Real-World Radiation Oncology Questions: Multicenter Observational Study. Journal of Medical Internet Research 2025;27:e69752 View

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