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Conversational AI tools that can generate and discuss clinically correct radiology reports for a given medical image have the potential to transform radiology.
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Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu · 2002
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Chin-Yew Lin · 2004
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Preparing a collection of radiology examinations for distribution and retrieval
Dina Demner-Fushman, Marc D Kohli, Marc B Rosenman, Sonya E Shooshan, Laritza Rodriguez, Sameer Antani, George R Thoma, and Clement J McDonald · 2016
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Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2018
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Mimic-cxr, a de-identified publicly available database of chest radiographs with free-text reports
Alistair EW Johnson, Tom J Pollard, Seth J Berkowitz, Nathaniel R Greenbaum, Matthew P Lungren, Chih-ying Deng, Roger G Mark, and Steven Horng · 2019
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Bertscore: Evaluating text generation with bert
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q Weinberger, and Yoav Artzi · 2019
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Generating radiology reports via memory-driven transformer
Zhihong Chen, Yan Song, Tsung-Hui Chang, and Xiang Wan · 2020
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Chexbert: combining automatic labelers and expert annotations for accurate radiology report labeling using bert
Akshay Smit, Saahil Jain, Pranav Rajpurkar, Anuj Pareek, Andrew Y Ng, and Matthew P Lungren · 2020
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Lora: Low-rank adaptation of large language models
Edward J Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen · 2021
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Improving factual completeness and consistency of image-to-text radiology report generation
Yasuhide Miura, Yuhao Zhang, Emily Tsai, Curtis Langlotz, and Dan Jurafsky · 2021
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Progressive transformer-based generation of radiology reports
Farhad Nooralahzadeh, Nicolas Perez Gonzalez, Thomas Frauenfelder, Koji Fujimoto, and Michael Krauthammer · 2021
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Clinically correct report generation from chest x-rays using templates
Pablo Pino, Denis Parra, Cecilia Besa, and Claudio Lagos · 2021
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Weakly supervised contrastive learning for chest x-ray report generation
An Yan, Zexue He, Xing Lu, Jiang Du, Eric Chang, Amilcare Gentili, Julian McAuley, and Chun-nan Hsu · 2021
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Methods for automatic generation of radiological reports of chest radiographs: a comprehensive survey
Navdeep Kaur, Ajay Mittal, and Gurprem Singh · 2022
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Explaining chest x-ray pathologies in natural language
Maxime Kayser, Cornelius Emde, Oana-Maria Camburu, Guy Parsons, Bartlomiej Papiez, and Thomas Lukasiewicz · 2022
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An inclusive task-aware framework for radiology report generation
Lin Wang, Munan Ning, Donghuan Lu, Dong Wei, Yefeng Zheng, and Jie Chen · 2022
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Knowledge matters: Chest radiology report generation with general and specific knowledge
Shuxin Yang, Xian Wu, Shen Ge, S Kevin Zhou, and Li Xiao · 2022
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Gpt-4 technical report
Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al · 2023
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Learning to exploit temporal structure for biomedical vision-language processing
Shruthi Bannur, Stephanie Hyland, Qianchu Liu, Fernando Perez-Garcia, Maximilian Ilse, Daniel C Castro, Benedikt Boecking, Harshita Sharma, Kenza Bouzid, Anja Thieme, et al · 2023
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Interactive and explainable region-guided radiology report generation
Tim Tanida, Philip Müller, Georgios Kaissis, and Daniel Rueckert · 2023
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Xraygpt: Chest radiographs summarization using medical vision-language models
Omkar Thawkar, Abdelrahman Shaker, Sahal Shaji Mullappilly, Hisham Cholakkal, Rao Muhammad Anwer, Salman Khan, Jorma Laaksonen, and Fahad Shahbaz Khan · 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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Metransformer: Radiology report generation by transformer with multiple learnable expert tokens
Zhanyu Wang, Lingqiao Liu, Lei Wang, and Luping Zhou · 2023
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Towards generalist foundation model for radiology
Chaoyi Wu, Xiaoman Zhang, Ya Zhang, Yanfeng Wang, and Weidi Xie · 2023
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Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality, 2023
Wei-Lin Chiang, Zhuohan Li, Zi Lin, Ying Sheng, Zhanghao Wu, Hao Zhang, Lianmin Zheng, Siyuan Zhuang, Yonghao Zhuang, Joseph E. Gonzalez, Ion Stoica, and Eric P. Xing · 2023
Cited alongside, same era.
ORGAN: Observation-guided radiology report generation via tree reasoning
Wenjun Hou, Kaishuai Xu, Yi Cheng, Wenjie Li, and Jiang Liu · 2023
Cited alongside, same era.
Kiut: Knowledge-injected u-transformer for radiology report generation
Zhongzhen Huang, Xiaofan Zhang, and Shaoting Zhang · 2023
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Maira-1: A specialised large multimodal model for radiology report generation
Stephanie L Hyland, Shruthi Bannur, Kenza Bouzid, Daniel C Castro, Mercy Ranjit, Anton Schwaighofer, Fernando Pérez-García, Valentina Salvatelli, Shaury Srivastav, Anja Thieme, et al · 2023
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Multimodal image-text matching improves retrieval-based chest x-ray report generation
Jaehwan Jeong, Katherine Tian, Andrew Li, Sina Hartung, Fardad Behzadi, Juan Calle, David Osayande, Michael Pohlen, Subathra Adithan, and Pranav Rajpurkar · 2023
Cited alongside, same era.
Flexr: Few-shot classification with language embeddings for structured reporting of chest x-rays
Matthias Keicher, Kamilia Zaripova, Tobias Czempiel, Kristina Mach, Ashkan Khakzar, and Nassir Navab · 2023
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Med-flamingo: a multimodal medical few-shot learner
Michael Moor, Qian Huang, Shirley Wu, Michihiro Yasunaga, Yash Dalmia, Jure Leskovec, Cyril Zakka, Eduardo Pontes Reis, and Pranav Rajpurkar · 2023
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Radiology report generation with a learned knowledge base and multi-modal alignment
Shuxin Yang, Xian Wu, Shen Ge, Zhuozhao Zheng, S Kevin Zhou, and Li Xiao · 2023
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Evaluating progress in automatic chest x-ray radiology report generation
Feiyang Yu, Mark Endo, Rayan Krishnan, Ian Pan, Andy Tsai, Eduardo Pontes Reis, Eduardo Kaiser Ururahy Nunes Fonseca, Henrique Min Ho Lee, Zahra Shakeri Hossein Abad, Andrew Y Ng, et al · 2023
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Chexagent: Towards a foundation model for chest x-ray interpretation
Zhihong Chen, Maya Varma, Jean-Benoit Delbrouck, Magdalini Paschali, Louis Blankemeier, Dave Van Veen, Jeya Maria Jose Valanarasu, Alaa Youssef, Joseph Paul Cohen, Eduardo Pontes Reis, et al · 2024
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Llava-med: Training a large language-and-vision assistant for biomedicine in one day
Chunyuan Li, Cliff Wong, Sheng Zhang, Naoto Usuyama, Haotian Liu, Jianwei Yang, Tristan Naumann, Hoifung Poon, and Jianfeng Gao · 2024
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Visual instruction tuning
Haotian Liu, Chunyuan Li, Qingyang Wu, and Yong Jae Lee · 2024
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Towards generalist biomedical ai
Tao Tu, Shekoofeh Azizi, Danny Driess, Mike Schaekermann, Mohamed Amin, Pi-Chuan Chang, Andrew Carroll, Charles Lau, Ryutaro Tanno, Ira Ktena, et al · 2024
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Radiology report generation via multi-objective preference optimization
Ting Xiao, Lei Shi, Peng Liu, Zhe Wang, and Chenjia Bai · 2024
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Chatcad+: Towards a universal and reliable interactive cad using llms
Zihao Zhao, Sheng Wang, Jinchen Gu, Yitao Zhu, Lanzhuju Mei, Zixu Zhuang, Zhiming Cui, Qian Wang, and Dinggang Shen · 2024
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Hkrg: Hierarchical knowledge integration for radiology report generation
Bo Wang, Peihong Teng, Hongda Zhang, Feiyang Yang, Zeyu Wang, Xingcheng Yi, Tianyang Zhang, Chunhui Wang, Adriano Jose Tavares, and Hao Xu · 2025
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