Search Results - Gero, Zelalem

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  1. 1
    Pressure Ulcer Injury in Unstructured Clinical Notes: Detection and Interpretation

    Pressure Ulcer Injury in Unstructured Clinical Notes: Detection and Interpretation by Sotoodeh, Mani, Gero, Zelalem H, Zhang, Wenhui, Hertzberg, Vicki Stover, Ho, Joyce C

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  2. 2
    PMCVec: Distributed phrase representation for biomedical text processing

    PMCVec: Distributed phrase representation for biomedical text processing by Gero, Zelalem, Ho, Joyce

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  3. 3
    A whole-slide foundation model for digital pathology from real-world data

    A whole-slide foundation model for digital pathology from real-world data by Xu, Hanwen, Usuyama, Naoto, Bagga, Jaspreet, Zhang, Sheng, Rao, Rajesh, Naumann, Tristan, Wong, Cliff, Gero, Zelalem, González, Javier, Gu, Yu, Xu, Yanbo, Wei, Mu, Wang, Wenhui, Ma, Shuming, Wei, Furu, Yang, Jianwei, Li, Chunyuan, Gao, Jianfeng, Rosemon, Jaylen, Bower, Tucker, Lee, Soohee, Weerasinghe, Roshanthi, Wright, Bill J., Robicsek, Ari, Piening, Brian, Bifulco, Carlo, Wang, Sheng, Poon, Hoifung

    Published in Nature (London)
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  4. 4
    CATAN: Chart-aware temporal attention network for adverse outcome prediction

    CATAN: Chart-aware temporal attention network for adverse outcome prediction by Gero, Zelalem, Ho, Joyce C.

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  5. 5
    Attribute Structuring Improves LLM-Based Evaluation of Clinical Text Summaries

    Attribute Structuring Improves LLM-Based Evaluation of Clinical Text Summaries by Zelalem Gero, Singh, Chandan, Xie, Yiqing, Zhang, Sheng, Subramanian, Praveen, Vozila, Paul, Naumann, Tristan, Gao, Jianfeng, Poon, Hoifung

    Published in arXiv.org
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  6. 6
    DocLens: Multi-aspect Fine-grained Evaluation for Medical Text Generation

    DocLens: Multi-aspect Fine-grained Evaluation for Medical Text Generation by Xie, Yiqing, Zhang, Sheng, Cheng, Hao, Liu, Pengfei, Zelalem Gero, Wong, Cliff, Naumann, Tristan, Poon, Hoifung, Rose, Carolyn

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  7. 7
    Self-Verification Improves Few-Shot Clinical Information Extraction

    Self-Verification Improves Few-Shot Clinical Information Extraction by Zelalem Gero, Singh, Chandan, Cheng, Hao, Naumann, Tristan, Galley, Michel, Gao, Jianfeng, Poon, Hoifung

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  8. 8
    TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models

    TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models by González, Javier, Wong, Cliff, Zelalem Gero, Bagga, Jass, Ueno, Risa, Chien, Isabel, Oravkin, Eduard, Kiciman, Emre, Nori, Aditya, Weerasinghe, Roshanthi, Leidner, Rom S, Piening, Brian, Naumann, Tristan, Bifulco, Carlo, Poon, Hoifung

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