Clinical Insights: A Comprehensive Review of Language Models in Medicine
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Abstract (arXiv)
This paper explores the advancements and applications of language models in healthcare, focusing on their clinical use cases. It examines the evolution from early encoder-based systems requiring extensive fine-tuning to state-of-the-art large language and multimodal models capable of integrating text and visual data through in-context learning. The analysis emphasizes locally deployable models, which enhance data privacy and operational autonomy, and their applications in tasks such as text generation, classification, information extraction, and conversational systems. The paper also highlights a structured organization of tasks and a tiered ethical approach, providing a valuable resource for researchers and practitioners, while discussing key challenges related to ethics, evaluation, and implementation.
Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). Builds on 131 of its 248 references that are in the map. First posted on arXiv 21 Aug 2024.
Builds on
131 of 248 references.
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Citing papers per year: 2024: 2; 2025: 4.
6 papers.
- 2025Memorization in Large Language Models in Medicine: Prevalence, Characteristics, and Implicationscited by 5
- 2025CLIN-LLM: A Safety-Constrained Hybrid Framework for Clinical Diagnosis and Treatment Generationcited by 3
- 2024Incorporating Metabolic Information into LLMs for Anomaly Detection in Clinical Time-Seriescited by 2
- 2024SleepCoT: A Lightweight Personalized Sleep Health Model via Chain-of-Thought Distillationcited by 1
- 2025Evaluating Structured Output Robustness of Small Language Models for Open Attribute-Value Extraction from Clinical Notescited by 1
- 2025Context-Emotion Aware Therapeutic Dialogue Generation: A Multi-component Reinforcement Learning Approach to Language Models for Mental Health Supportcited by 0
- 2025Context-Emotion Aware Therapeutic Dialogue Generation: A Multi-component Reinforcement Learning Approach to Language Models for Mental Health Support14 Nov 2025
- 2025CLIN-LLM: A Safety-Constrained Hybrid Framework for Clinical Diagnosis and Treatment Generation26 Oct 2025
- 2025Memorization in Large Language Models in Medicine: Prevalence, Characteristics, and Implications10 Sep 2025
- 2025Evaluating Structured Output Robustness of Small Language Models for Open Attribute-Value Extraction from Clinical Notes2 Jul 2025
- 2024SleepCoT: A Lightweight Personalized Sleep Health Model via Chain-of-Thought Distillation22 Oct 2024
- 2024Incorporating Metabolic Information into LLMs for Anomaly Detection in Clinical Time-Series2 Oct 2024