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

Viewpoints and Perspectives (535) Generative Language Models Including ChatGPT (354) AI Language Models in Health Care (70) Artificial Intelligence (1482) Data Science (280) New Methods (975) Clinical Informatics (1066) Big Data (253) Electronic Health Records (1080)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59505, first published .
Multimodal Large Language Models in Health Care: Applications, Challenges, and Future Outlook

Multimodal Large Language Models in Health Care: Applications, Challenges, and Future Outlook

Multimodal Large Language Models in Health Care: Applications, Challenges, and Future Outlook

Authors of this article:

Rawan AlSaad1 Author Orcid Image ;   Alaa Abd-alrazaq1 Author Orcid Image ;   Sabri Boughorbel2 Author Orcid Image ;   Arfan Ahmed1 Author Orcid Image ;   Max-Antoine Renault1 Author Orcid Image ;   Rafat Damseh3 Author Orcid Image ;   Javaid Sheikh1 Author Orcid Image
Article Authors Cited by (4) Tweetations (8) Metrics

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  2. Lin Y, Cheng M, Wu C, Huang Y, Zhu T, Li J, Gao H, Wang K. MRI-based artificial intelligence models for post-neoadjuvant surgery personalization in breast cancer: a narrative review of evidence from Western Pacific. The Lancet Regional Health - Western Pacific 2024:101254 View
  3. Chaabene S, Boudaya A, Bouaziz B, Chaari L. An overview of methods and techniques in multimodal data fusion with application to healthcare. International Journal of Data Science and Analytics 2025 View