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Recent advancements in Large Language Models (LLMs) have marked significant progress in understanding and responding to medical inquiries.
A model for enhancing internet medical document retrieval with “medical core metadata”
Gary Malet, Felix Munoz, Richard Appleyard, and William Hersh · 1999
Earlier work this paper cites.
Extracting information from the text of electronic medical records to improve case detection: a systematic review
Elizabeth Ford, John A Carroll, Helen E Smith, Donia Scott, and Jackie A Cassell · 2016
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Impact of scribes on physician satisfaction, patient satisfaction, and charting efficiency: A randomized controlled trial
Risha Gidwani, Cathina T. Nguyen, Alexis Kofoed, Catherine Carragee, Tracy A Rydel, Ian Nelligan, Amelia L Sattler, Megan Mahoney, and Steven Lin · 2017
Earlier work this paper cites.
The recent progress and applications of digital technologies in healthcare: a review
Maksut Senbekov, Timur Saliev, Zhanar Bukeyeva, Aigul Almabayeva, Marina Zhanaliyeva, Nazym Aitenova, Yerzhan Toishibekov, Ildar Fakhradiyev, et al · 2020
Earlier work this paper cites.
The online health information needs of family physicians: systematic review of qualitative and quantitative studies
Piet van der Keylen, Johanna Tomandl, Katharina Wollmann, Ralph Moehler, Mario Sofroniou, Andy Maun, Sebastian Voigt-Radloff, and Luca Frank · 2020
Earlier work this paper cites.
Analysis of massive online medical consultation service data to understand physicians’ economic return: Observational data mining study
Jinglu Jiang, Ann Frances Cameron, and Ming Yang · 2020
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Systems modelling to support the complex nature of healthcare services
Per Engelseth, BE White, Ingunn Mundal, Trude Fløystad Eines, and Duangpun Kritchanchai · 2021
Earlier work this paper cites.
The validity of sentiment analysis: Comparing manual annotation, crowd-coding, dictionary approaches, and machine learning algorithms
Wouter van Atteveldt, Mariken A.C.G. van der Velden, and Mark Boukes · 2021
Earlier work this paper cites.
Re-examining the impact of multidimensional trust on patients’ online medical consultation service continuance decision
Ming Yang, Jinglu Jiang, Melody Y. Kiang, and Fangyun Yuan · 2021
Earlier work this paper cites.
Arasencorpus: A semi-supervised approach for sentiment annotation of a large arabic text corpus
Ali Al-laith, Muhammad Shahbaz, Hind Alaskar, and Asim Rehmat · 2021
Earlier work this paper cites.
Influencing factors and mechanism of doctor consultation volume on online medical consultation platforms based on physician review analysis
Yan Wan, Ziqing Peng, Yalu Wang, Yifan Zhang, Jinping Gao, and Baojun Ma · 2021
Earlier work this paper cites.
Supporting Information Retrieval From Clinical Narrative Texts Using Text Classification and Visualization Techniques
Jonah Kenei · 2022
Cited alongside, same era.
Explainability of methods for critical information extraction from clinical documents: A survey of representative works
Tin Kam Ho, Yen-Fu Luo, and Rodrigo Capobianco Guido · 2022
Cited alongside, same era.
Black box warning: large language models and the future of infectious diseases consultation
Ilan S Schwartz, Katherine E Link, Roxana Daneshjou, and Nicolás Cortés-Penfield · 2023
Cited alongside, same era.
Time to rebuild the doctor-patient relationship in china
Yuxin Wang and Shunda Du · 2023
Cited alongside, same era.
Large language models (llm) and chatgpt: what will the impact on nuclear medicine be?
Ian L Alberts, Lorenzo Mercolli, Thomas Pyka, George Prenosil, Kuangyu Shi, Axel Rominger, and Ali Afshar-Oromieh · 2023
Cited alongside, same era.
Leveraging generative ai and large language models: A comprehensive roadmap for healthcare integration
Ping Yu, Hua Xu, Xia Hu, and Chao Deng · 2023
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Iag: Induction-augmented generation framework for answering reasoning questions
Zhebin Zhang, Xinyu Zhang, Yuanhang Ren, Saijiang Shi, Meng Han, Yongkang Wu, Ruofei Lai, and Zhao Cao · 2023
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Knowledge grounded medical dialogue generation using augmented graphs
Deeksha Varshney, Aizan Zafar, Niranshu Kumar Behera, and Asif Ekbal · 2023
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Grace: Gradient-guided controllable retrieval for augmenting attribute-based text generation
Zhihua Wen, Zhiliang Tian, Zhen Huang, Yuxin Yang, Zexin Jian, Changjian Wang, and Dongsheng li · 2023
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Doctorglm: Fine-tuning your chinese doctor is not a herculean task
Honglin Xiong, Sheng Wang, Yitao Zhu, Zihao Zhao, Yuxiao Liu, Linlin Huang, Qian Wang, and Dinggang Shen · 2023
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The integration of chatgpt with the metaverse for medical consultations
Abdulmotaleb El Saddik and Sara Ghaboura · 2023
Cited alongside, same era.
Ethical considerations of using chatgpt in health care
Changyu Wang, Siru Liu, Hao Yang, Jiulin Guo, Yuxuan Wu, and Jialin Liu · 2023
Cited alongside, same era.
Retrieve-and-sample: Document-level event argument extraction via hybrid retrieval augmentation
Yubing Ren, Yanan Cao, Ping Guo, Fang Fang, Wei Ma, and Zheng Lin · 2023
Cited alongside, same era.
Think and retrieval: A hypothesis knowledge graph enhanced medical large language models, 2023
Xinke Jiang, Ruizhe Zhang, Yongxin Xu, Rihong Qiu, Yue Fang, Zhiyuan Wang, Jinyi Tang, Hongxin Ding, Xu Chu, Junfeng Zhao, and Yasha Wang · 2023
Cited alongside, same era.
Chatdoctor: A medical chat model fine-tuned on a large language model meta-ai (llama) using medical domain knowledge, 2023
Yunxiang Li, Zihan Li, Kai Zhang, Ruilong Dan, Steve Jiang, and You Zhang · 2023
Cited alongside, same era.
Later among the works it cites.
Comparing response performances of chatgpt-3.5, chatgpt-4 and bard to health-related questions: Comprehensiveness, accuracy and being up-to-date
Mustafa Said Yıldız · 2023
Later among the works it cites.
Customizing general-purpose foundation models for medical report generation, 2023
Bang Yang, Asif Raza, Yuexian Zou, and Tong Zhang · 2023
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Ziya-visual: Bilingual large vision-language model via multi-task instruction tuning
Junyu Lu, Di Zhang, Xiaojun Wu, Xinyu Gao, Ruyi Gan, Jiaxing Zhang, Yan Song, and Pingjian Zhang · 2023
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Huatuogpt, towards taming language model to be a doctor
Hongbo Zhang, Junying Chen, Feng Jiang, Fei Yu, Zhihong Chen, Jianquan Li, Guimin Chen, Xiangbo Wu, Zhiyi Zhang, Qingying Xiao, Xiang Wan, Benyou Wang, and Haizhou Li · 2023
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A systematic review and meta-analysis of artificial intelligence tools in medicine and healthcare: Applications, considerations, limitations, motivation and challenges
Hussain A Younis, Taiseer Abdalla Elfadil Eisa, Maged Nasser, Thaeer Mueen Sahib, Ameen A Noor, Osamah Mohammed Alyasiri, Sani Salisu, Israa M Hayder, and Hameed AbdulKareem Younis · 2024
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