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There is growing interest in applying AI to radiology report generation, particularly for chest X-rays (CXRs).
Efficientnet: Rethinking model scaling for convolutional neural networks
Mingxing Tan and Quoc V. Le · 1905
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PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals
Ary L Goldberger, Luis AN Amaral, Leon Glass, Jeffrey M Hausdorff, Plamen Ch Ivanov, Roger G Mark, Joseph E Mietus, George B Moody, Chung-Kang Peng, and H Eugene Stanley · 2000
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Improving factual completeness and consistency of image-to-text radiology report generation, 2021
Yasuhide Miura, Yuhao Zhang, Emily Bao Tsai, Curtis P. Langlotz, and Dan Jurafsky · 2010
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CheXpert: A large chest radiograph dataset with uncertainty labels and expert comparison
Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu, Silviana Ciurea-Ilcus, Chris Chute, Henrik Marklund, Behzad Haghgoo, Robyn L. Ball, Katie Shpanskaya, Jayne Seekins, David A. Mong, Safwan S. Halabi, Jesse K. Sandberg, Ricky Jones, David B. Larson, Curtis P. Langlotz, Bhavik N. Patel, Matthew P. Lungren, and Andrew Y. Ng · 2019
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Clinically accurate chest X-ray report generation
Guanxiong Liu, Tzu-Ming Harry Hsu, Matthew McDermott, Willie Boag, Wei-Hung Weng, Peter Szolovits, and Marzyeh Ghassemi · 2019
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Curation of the candid-ptx dataset with free-text reports
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cldice - a novel topology-preserving loss function for tubular structure segmentation
Suprosanna Shit, Johannes C. Paetzold, Anjany Sekuboyina, Ivan Ezhov, Alexander Unger, Andrey Zhylka, Josien P. W. Pluim, Ulrich Bauer, and Bjoern H. Menze · 2021
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Clip, catheter and line position dataset
Jennifer SN Tang, Jarrel CY Seah, Adil Zia, Jay Gajera, Richard N Schlegel, Aaron JN Wong, Dayu Gai, Shu Su, Tony Bose, Marcus L Kok, et al · 2021
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Chest x-ray segmentation images based on mimic-cxr, 2022
Li-Ching Chen, Po-Chih Kuo, Ryan Wang, Judy Gichoya, and Leo Anthony Celi · 2022
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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
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Generative artificial intelligence for chest radiograph interpretation in the emergency department
Jonathan Huang, Luke Neill, Matthew Wittbrodt, David Melnick, Matthew Klug, Michael Thompson, John Bailitz, Timothy Loftus, Sanjeev Malik, Amit Phull, et al · 2023
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Medical report generation based on segment-enhanced contrastive representation learning, 2023
Ruoqing Zhao, Xi Wang, Hongliang Dai, Pan Gao, and Piji Li · 2023
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Phi-3 technical report: A highly capable language model locally on your phone, 2024
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Automated radiology report generation: A review of recent advances
Phillip Sloan, Philip Clatworthy, Edwin Simpson, and Majid Mirmehdi · 2024
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MAIRA at RRG24: A specialised large multimodal model for radiology report generation
Shaury Srivastav, Mercy Ranjit, Fernando Pérez-García, Kenza Bouzid, Shruthi Bannur, Daniel C. Castro, Anton Schwaighofer, Harshita Sharma, Maximilian Ilse, Valentina Salvatelli, Sam Bond-Taylor, Fabian Falck, Anja Thieme, Hannah Richardson, Matthew P. Lungren, Stephanie L. Hyland, and Javier Alvarez-Valle · 2024
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