aceLarge Language Models in Healthcare and Medical Applications: A Review
This paper provides a systematic and in-depth examination of large language models (LLMs) in the healthcare domain, addressing their significant potential to transform medical practice through advanced natural language processing capabilities. Current implementations demonstrate LLMs' promising applications across clinical decision support, medical education, diagnostics, and patient care, while highlighting critical challenges in privacy, ethical deployment, and factual accuracy that require resolution for resp…
As of June 2025 review, current implementations of large language models were observed to offer promising applications in clinical decision support, diagnostics, and patient care.
The source itself notes unresolved technical and social boundaries including bias, interpretability, fairness, and regulatory compliance that limit responsible deployment.
Evidence
- Peer-reviewedBioengineering2025-06-10
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Truvace Impact Record TRV-2026-0501, v1: “Large Language Models in Healthcare and Medical Applications: A Review.” Truvace, 2026-07-22. /record/TRV-2026-0501 (accessed at citation time). sha256 e1135ecfd51a6609…
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