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Related papers: Ophtha-LLaMA2: A Large Language Model for Ophthalm…

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Large multimodal language models (LMMs) have achieved significant success in general domains. However, due to the significant differences between medical images and text and general web content, the performance of LMMs in medical scenarios…

Computer Vision and Pattern Recognition · Computer Science 2023-06-23 Weihao Gao , Zhuo Deng , Zhiyuan Niu , Fuju Rong , Chucheng Chen , Zheng Gong , Wenze Zhang , Daimin Xiao , Fang Li , Zhenjie Cao , Zhaoyi Ma , Wenbin Wei , Lan Ma

In recent years, large language models (LLMs) have demonstrated remarkable potential across various medical applications. Building on this foundation, multimodal large language models (MLLMs) integrate LLMs with visual models to process…

Computation and Language · Computer Science 2025-03-11 Xiaoyi Liang , Mouxiao Bian , Moxin Chen , Lihao Liu , Junjun He , Jie Xu , Lin Li

Automatic disease diagnosis has become increasingly valuable in clinical practice. The advent of large language models (LLMs) has catalyzed a paradigm shift in artificial intelligence, with growing evidence supporting the efficacy of LLMs…

Large Language Models (LLMs) have demonstrated surprising performance across various natural language processing tasks. Recently, medical LLMs enhanced with domain-specific knowledge have exhibited excellent capabilities in medical…

Computation and Language · Computer Science 2024-09-24 Jinqiang Wang , Huansheng Ning , Yi Peng , Qikai Wei , Daniel Tesfai , Wenwei Mao , Tao Zhu , Runhe Huang

Large Language Models (LLMs) have fundamentally transformed approaches to Natural Language Processing (NLP) tasks across diverse domains. In healthcare, accurate and cost-efficient text classification is crucial, whether for clinical notes…

Computation and Language · Computer Science 2026-02-16 Hajar Sakai , Sarah S. Lam

We aim to present a comprehensive overview of the latest advancements in utilizing Large Language Models (LLMs) within the healthcare sector, emphasizing their transformative impact across various medical domains. LLMs have become pivotal…

Computation and Language · Computer Science 2026-04-07 Ummara Mumtaz , Awais Ahmed , Summaya Mumtaz

Purpose: The performance of three different large language models (LLMS) (GPT-3.5, GPT-4, and PaLM2) in answering ophthalmology professional questions was evaluated and compared with that of three different professional populations (medical…

Computation and Language · Computer Science 2023-11-10 Jason Holmes , Shuyuan Ye , Yiwei Li , Shi-Nan Wu , Zhengliang Liu , Zihao Wu , Jinyu Hu , Huan Zhao , Xi Jiang , Wei Liu , Hong Wei , Jie Zou , Tianming Liu , Yi Shao

Large language models (LLMs) have shown significant promise across various medical applications, with ophthalmology being a notable area of focus. Many ophthalmic tasks have shown substantial improvement through the integration of LLMs.…

Computation and Language · Computer Science 2025-02-04 Chengfeng Zhou , Ji Wang , Juanjuan Qin , Yining Wang , Ling Sun , Weiwei Dai

The deployment of large language models (LLMs) within the healthcare sector has sparked both enthusiasm and apprehension. These models exhibit the remarkable capability to provide proficient responses to free-text queries, demonstrating a…

Computation and Language · Computer Science 2024-07-09 Zabir Al Nazi , Wei Peng

The rising prevalence of eye diseases poses a growing public health burden. Large language models (LLMs) offer a promising path to reduce documentation workload and support clinical decision-making. However, few have been tailored for…

With the rapid development of artificial intelligence, large language models (LLMs) have shown promising capabilities in mimicking human-level language comprehension and reasoning. This has sparked significant interest in applying LLMs to…

Computation and Language · Computer Science 2023-11-06 Mingze Yuan , Peng Bao , Jiajia Yuan , Yunhao Shen , Zifan Chen , Yi Xie , Jie Zhao , Yang Chen , Li Zhang , Lin Shen , Bin Dong

Large language models (LLMs) have shown potential in biomedical applications, leading to efforts to fine-tune them on domain-specific data. However, the effectiveness of this approach remains unclear. This study evaluates the performance of…

The prevalence of vision-threatening eye diseases is a significant global burden, with many cases remaining undiagnosed or diagnosed too late for effective treatment. Large vision-language models (LVLMs) have the potential to assist in…

Computer Vision and Pattern Recognition · Computer Science 2025-02-06 Zhenyue Qin , Yu Yin , Dylan Campbell , Xuansheng Wu , Ke Zou , Yih-Chung Tham , Ninghao Liu , Xiuzhen Zhang , Qingyu Chen

The integration of Large Language Models (LLMs) into healthcare holds significant potential to enhance diagnostic accuracy and support medical treatment planning. These AI-driven systems can analyze vast datasets, assisting clinicians in…

Computation and Language · Computer Science 2025-04-15 Diogo Sousa , Guilherme Barbosa , Catarina Rocha , Dulce Oliveira

Large language models (LLMs) have demonstrated immense capabilities in understanding textual data and are increasingly being adopted to help researchers accelerate scientific discovery through knowledge extraction (information retrieval),…

Computer Vision and Pattern Recognition · Computer Science 2025-05-30 Robinson Umeike , Neil Getty , Fangfang Xia , Rick Stevens

Artificial intelligence (AI) has gained significant attention in healthcare consultation due to its potential to improve clinical workflow and enhance medical communication. However, owing to the complex nature of medical information, large…

Computation and Language · Computer Science 2024-03-05 Xiaolan Chen , Ziwei Zhao , Weiyi Zhang , Pusheng Xu , Le Gao , Mingpu Xu , Yue Wu , Yinwen Li , Danli Shi , Mingguang He

Large Language Models (LLMs) have rapidly become important tools in Biomedical and Health Informatics (BHI), enabling new ways to analyze data, treat patients, and conduct research. This study aims to provide a comprehensive overview of LLM…

Digital Libraries · Computer Science 2024-07-30 Huizi Yu , Lizhou Fan , Lingyao Li , Jiayan Zhou , Zihui Ma , Lu Xian , Wenyue Hua , Sijia He , Mingyu Jin , Yongfeng Zhang , Ashvin Gandhi , Xin Ma

Recently, Large Language Models (LLMs) have showcased remarkable capabilities in natural language understanding. While demonstrating proficiency in everyday conversations and question-answering situations, these models frequently struggle…

Computation and Language · Computer Science 2023-08-28 Chaoyi Wu , Weixiong Lin , Xiaoman Zhang , Ya Zhang , Yanfeng Wang , Weidi Xie

Large language models (LLMs), such as ChatGPT, have received substantial attention due to their capabilities for understanding and generating human language. While there has been a burgeoning trend in research focusing on the employment of…

Large Language Models (LLMs) have exhibited remarkable capabilities in understanding and interacting with natural language across various sectors. However, their effectiveness is limited in specialized areas requiring high accuracy, such as…

Computation and Language · Computer Science 2024-01-04 Xianjun Yang , Junfeng Gao , Wenxin Xue , Erik Alexandersson
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