Large Language Model Architectures in Health Care: Scoping Review of Research Perspectives
BackgroundLarge language models (LLMs) can support health care professionals in their daily work, for example, when writing and filing reports or communicating diagnoses. With the rise of LLMs, current research investigates how LLMs could be applied in medical practice and th...
Saved in:
| Main Authors: | Florian Leiser, Richard Guse, Ali Sunyaev |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
JMIR Publications
2025-06-01
|
| Series: | Journal of Medical Internet Research |
| Online Access: | https://www.jmir.org/2025/1/e70315 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A scoping review of large language models for generative tasks in mental health care
by: Yining Hua, et al.
Published: (2025-04-01) -
The Applications of Large Language Models in Mental Health: Scoping Review
by: Yu Jin, et al.
Published: (2025-05-01) -
Current Landscape and Future Directions Regarding Generative Large Language Models in Stroke Care: Scoping Review
by: XingCe Zhu, et al.
Published: (2025-08-01) -
Perspectives and Experiences With Large Language Models in Health Care: Survey Study
by: Jennifer Sumner, et al.
Published: (2025-05-01) -
Large Language Model Applications for Health Information Extraction in Oncology: Scoping Review
by: David Chen, et al.
Published: (2025-03-01)