[HTML][HTML] Large language models in healthcare and medical domain: A review

ZA Nazi, W Peng - Informatics, 2024 - mdpi.com
The deployment of large language models (LLMs) within the healthcare sector has sparked
both enthusiasm and apprehension. These models exhibit the remarkable ability to provide …

A survey of large language models in medicine: Progress, application, and challenge

H Zhou, F Liu, B Gu, X Zou, J Huang, J Wu, Y Li… - arxiv preprint arxiv …, 2023 - arxiv.org
Large language models (LLMs), such as ChatGPT, have received substantial attention due
to their capabilities for understanding and generating human language. While there has …

[HTML][HTML] A survey of large language models for healthcare: from data, technology, and applications to accountability and ethics

K He, R Mao, Q Lin, Y Ruan, X Lan, M Feng… - Information …, 2025 - Elsevier
The utilization of large language models (LLMs) for Healthcare has generated both
excitement and concern due to their ability to effectively respond to free-text queries with …

Matching patients to clinical trials with large language models

Q **, Z Wang, CS Floudas, F Chen, C Gong… - Nature …, 2024 - nature.com
Patient recruitment is challenging for clinical trials. We introduce TrialGPT, an end-to-end
framework for zero-shot patient-to-trial matching with large language models. TrialGPT …

Improving large language models for clinical named entity recognition via prompt engineering

Y Hu, Q Chen, J Du, X Peng, VK Keloth… - Journal of the …, 2024 - academic.oup.com
Importance The study highlights the potential of large language models, specifically GPT-3.5
and GPT-4, in processing complex clinical data and extracting meaningful information with …

Genegpt: Augmenting large language models with domain tools for improved access to biomedical information

Q **, Y Yang, Q Chen, Z Lu - Bioinformatics, 2024 - academic.oup.com
Motivation While large language models (LLMs) have been successfully applied to various
tasks, they still face challenges with hallucinations. Augmenting LLMs with domain-specific …

Benchmarking retrieval-augmented generation for medicine

G **ong, Q **, Z Lu, A Zhang - Findings of the Association for …, 2024 - aclanthology.org
While large language models (LLMs) have achieved state-of-the-art performance on a wide
range of medical question answering (QA) tasks, they still face challenges with …

The breakthrough of large language models release for medical applications: 1-year timeline and perspectives

M Cascella, F Semeraro, J Montomoli, V Bellini… - Journal of Medical …, 2024 - Springer
Within the domain of Natural Language Processing (NLP), Large Language Models (LLMs)
represent sophisticated models engineered to comprehend, generate, and manipulate text …

[HTML][HTML] Performance of ChatGPT across different versions in medical licensing examinations worldwide: systematic review and meta-analysis

M Liu, T Okuhara, XY Chang, R Shirabe… - Journal of Medical …, 2024 - jmir.org
Background Over the past 2 years, researchers have used various medical licensing
examinations to test whether ChatGPT (OpenAI) possesses accurate medical knowledge …

Hidden flaws behind expert-level accuracy of multimodal GPT-4 vision in medicine

Q **, F Chen, Y Zhou, Z Xu, JM Cheung, R Chen… - npj Digital …, 2024 - nature.com
Recent studies indicate that Generative Pre-trained Transformer 4 with Vision (GPT-4V)
outperforms human physicians in medical challenge tasks. However, these evaluations …