aceMultimodal Large Language Models in Health Care: Applications, Challenges, and Future Outlook
In the complex and multidimensional field of medicine, multimodal data are prevalent and crucial for informed clinical decisions. Multimodal data span a broad spectrum of data types, including medical images (eg, MRI and CT scans), time-series data (eg, sensor data from wearable devices and electronic health records), audio recordings (eg, heart and respiratory sounds and patient interviews), text (eg, clinical notes and research articles), videos (eg, surgical procedures), and omics data (eg, genomics and prote…
Large language models have enabled new applications for knowledge retrieval and processing in the medical field.
Evidence
- Peer-reviewedJournal of Medical Internet Research2024-08-20
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Truvace Impact Record TRV-2026-0371, v1: “Multimodal Large Language Models in Health Care: Applications, Challenges, and Future Outlook.” Truvace, 2026-07-20. /record/TRV-2026-0371 (accessed at citation time). sha256 394426c299036269…
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