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

91 indexed citations
published 2024

Countries where authors are citing Multimodal Large Language Models in Health Care: Applications, Challenges, and Future Outlook

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Fields of papers citing Multimodal Large Language Models in Health Care: Applications, Challenges, and Future Outlook

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Multimodal Large Language Models in Health Care: Applications, Challenges, and Future Outlook. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Multimodal Large Language Models in Health Care: Applications, Challenges, and Future Outlook.

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

This paper, published in 2024, received 91 indexed citations . Written by Rawan AlSaad, Alaa Abd‐Alrazaq, Sabri Boughorbel, Arfan Ahmed, Rafat Damseh and Javaid I. Sheikh covering the research area of Health Informatics and Artificial Intelligence. It is primarily cited by scholars working on Artificial Intelligence (36 citations), Health Informatics (32 citations) and Radiology, Nuclear Medicine and Imaging (25 citations). Published in Journal of Medical Internet Research.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

This paper is also available at doi.org/10.2196/59505.

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