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We present the Radiation Oncology NLP Database (ROND), the first dedicated Natural Language Processing (NLP) dataset for radiation oncology, an important medical specialty that has received limited attention from the NLP community in the past.
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The abr written and oral examinations in medical physics as currently conducted are sufficiently comprehensive and demanding to ensure that successful candidates have adequate knowledge and experience to practice in the designated specialty field
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Small-spot intensity-modulated proton therapy and volumetric-modulated arc therapies for patients with locally advanced non-small-cell lung cancer: a dosimetric comparative study
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Clinical natural language processing for radiation oncology: a review and practical primer
Danielle S Bitterman, Timothy A Miller, Raymond H Mak, and Guergana K Savova. 2021 · 2021
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Chestxraybert: A pretrained language model for chest radiology report summarization
Xiaoyan Cai, Sen Liu, Junwei Han, Libin Yang, Zhenguo Liu, and Tianming Liu. 2021 · 2021
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Automatic text summarization: A comprehensive survey
Wafaa S El-Kassas, Cherif R Salama, Ahmed A Rafea, and Hoda K Mohamed. 2021 · 2021
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Radiobiological effects and medical applications of non-ionizing radiation
Hiba Omer. 2021 · 2021
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Large language models encode clinical knowledge
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Falcon-40B: an open large language model with state-of-the-art performance
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Sparks of artificial general intelligence: Early experiments with gpt-4
Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan, Johannes Gehrke, Eric Horvitz, Ece Kamar, Peter Lee, Yin Tat Lee, Yuanzhi Li, Scott Lundberg, et al. 2023 · 2023
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Jason Wei, Maarten Bosma, Vincent Y Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M Dai, and Quoc V Le. 2021 · 2021
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Training language models to follow instructions with human feedback
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Clinicalradiobert: Knowledge-infused few shot learning for clinical notes named entity recognition
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Open LLM Leaderboard - a Hugging Face Space by HuggingFaceH4 — huggingface.co
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Summary of chatgpt/gpt-4 research and perspective towards the future of large language models
Yiheng Liu, Tianle Han, Siyuan Ma, Jiayue Zhang, Yuanyuan Yang, Jiaming Tian, Hao He, Antong Li, Mengshen He, Zhengliang Liu, et al. 2023a
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Deid-gpt: Zero-shot medical text de-identification by gpt-4
Zhengliang Liu, Xiaowei Yu, Lu Zhang, Zihao Wu, Chao Cao, Haixing Dai, Lin Zhao, Wei Liu, Dinggang Shen, Quanzheng Li, et al. 2023b
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Gpt-4 technical report
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Baolin Peng, Chunyuan Li, Pengcheng He, Michel Galley, and Jianfeng Gao. 2023 · 2023
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Prioritizing clinical trial quality assurance for photons and protons: A failure modes and effects analysis (fmea) comparison
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Llama: Open and efficient foundation language models
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When brain-inspired ai meets agi
Lin Zhao, Lu Zhang, Zihao Wu, Yuzhong Chen, Haixing Dai, Xiaowei Yu, Zhengliang Liu, Tuo Zhang, Xintao Hu, Xi Jiang, et al. 2023 · 2023
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