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Automatic diagnosis is a significant application of AI in healthcare, where diagnoses are generated based on the symptom description of patients.
International Statistical Classification of Diseases and related health problems: Alphabetical index
World Health Organization · 2004
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Health workforce requirements for universal health coverage and the sustainable development goals.(human resources for health observer, 17)
World Health Organization · 2016
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Inquire and diagnose: Neural symptom checking ensemble using deep reinforcement learning
Kai-Fu Tang, Hao-Cheng Kao, Chun-Nan Chou, and Edward Y Chang · 2016
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Proximal policy optimization algorithms
John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, and Oleg Klimov · 2017
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Context-aware symptom checking for disease diagnosis using hierarchical reinforcement learning
Hao-Cheng Kao, Kai-Fu Tang, and Edward Chang · 2018
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Task-oriented dialogue system for automatic diagnosis
Zhongyu Wei, Qianlong Liu, Baolin Peng, Huaixiao Tou, Ting Chen, Xuan-Jing Huang, Kam-Fai Wong, and Xiang Dai · 2018
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End-to-end knowledge-routed relational dialogue system for automatic diagnosis
Lin Xu, Qixian Zhou, Ke Gong, Xiaodan Liang, Jianheng Tang, and Liang Lin · 2019
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Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020
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Kangenbei Liao, Qianlong Liu, Zhongyu Wei, Baolin Peng, Qin Chen, Weijian Sun, and Xuanjing Huang · 2020
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Generative adversarial regularized mutual information policy gradient framework for automatic diagnosis
Yuan Xia, Jingbo Zhou, Zhenhui Shi, Chao Lu, and Haifeng Huang · 2020
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Imperfect also deserves reward: Multi-level and sequential reward modeling for better dialog management
Zhengxu Hou, Bang Liu, Ruihui Zhao, Zijing Ou, Yafei Liu, Xi Chen, and Yefeng Zheng · 2021
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The interplay of a conversational ontology and ai planning for health dialogue management
Milene Santos Teixeira, Vinícius Maran, and Mauro Dragoni · 2021
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Diaformer: Automatic diagnosis via symptoms sequence generation
Junying Chen, Dongfang Li, Qingcai Chen, Wenxiu Zhou, and Xin Liu · 2022
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Can large language models reason about medical questions?
Valentin Liévin, Christoffer Egeberg Hother, and Ole Winther · 2022
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Disc-medllm: Bridging general large language models and real-world medical consultation
Zhijie Bao, Wei Chen, Shengze Xiao, Kuang Ren, Jiaao Wu, Cheng Zhong, Jiajie Peng, Xuanjing Huang, and Zhongyu Wei · 2023
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Dxformer: a decoupled automatic diagnostic system based on decoder–encoder transformer with dense symptom representations
Wei Chen, Cheng Zhong, Jiajie Peng, and Zhongyu Wei · 2023
Leveraging large language models for multiple choice question answering
Joshua Robinson and David Wingate · 2023
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Large language models encode clinical knowledge
Karan Singhal, Shekoofeh Azizi, Tao Tu, S Sara Mahdavi, Jason Wei, Hyung Won Chung, Nathan Scales, Ajay Tanwani, Heather Cole-Lewis, Stephen Pfohl, et al · 2023
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Evaluating large language models on medical evidence summarization
Liyan Tang, Zhaoyi Sun, Betina Idnay, Jordan G Nestor, Ali Soroush, Pierre A Elias, Ziyang Xu, Ying Ding, Greg Durrett, Justin F Rousseau, et al · 2023
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Large language models in medicine
Arun James Thirunavukarasu, Darren Shu Jeng Ting, Kabilan Elangovan, Laura Gutierrez, Ting Fang Tan, and Daniel Shu Wei Ting · 2023
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Llama: Open and efficient foundation language models
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, et al · 2023
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Palm: Scaling language modeling with pathways
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, et al · 2023
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Mtdiag: An effective multi-task framework for automatic diagnosis
Zhenyu Hou, Yukuo Cen, Ziding Liu, Dongxue Wu, Baoyan Wang, Xuanhe Li, Lei Hong, and Jie Tang · 2023
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Genegpt: Augmenting large language models with domain tools for improved access to biomedical information
Qiao Jin, Yifan Yang, Qingyu Chen, and Zhiyong Lu · 2023
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Knowledge-augmented reasoning distillation for small language models in knowledge-intensive tasks
Minki Kang, Seanie Lee, Jinheon Baek, Kenji Kawaguchi, and Sung Ju Hwang · 2023
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Gpt-4 technical report, 2023
OpenAI · 2023
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Huatuo: Tuning llama model with chinese medical knowledge, 2023
Haochun Wang, Chi Liu, Nuwa Xi, Zewen Qiang, Sendong Zhao, Bing Qin, and Ting Liu · 2023
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Haochun Wang, Sendong Zhao, Zewen Qiang, Zijian Li, Nuwa Xi, Yanrui Du, MuZhen Cai, Haoqiang Guo, Yuhan Chen, Haoming Xu, et al · 2023
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Coad: Automatic diagnosis through symptom and disease collaborative generation
Huimin Wang, Wai Chung Kwan, Kam-Fai Wong, and Yefeng Zheng · 2023
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Baichuan 2: Open large-scale language models
Aiyuan Yang, Bin Xiao, Bingning Wang, Borong Zhang, Ce Bian, Chao Yin, Chenxu Lv, Da Pan, Dian Wang, Dong Yan, et al · 2023
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On large language models’ selection bias in multi-choice questions
Chujie Zheng, Hao Zhou, Fandong Meng, Jie Zhou, and Minlie Huang · 2023
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