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Publisher Correction: Large language models encode clinical knowledge

Author

Listed:
  • Karan Singhal

    (Google Research)

  • Shekoofeh Azizi

    (Google Research)

  • Tao Tu

    (Google Research)

  • S. Sara Mahdavi

    (Google Research)

  • Jason Wei

    (Google Research)

  • Hyung Won Chung

    (Google Research)

  • Nathan Scales

    (Google Research)

  • Ajay Tanwani

    (Google Research)

  • Heather Cole-Lewis

    (Google Research)

  • Stephen Pfohl

    (Google Research)

  • Perry Payne

    (Google Research)

  • Martin Seneviratne

    (Google Research)

  • Paul Gamble

    (Google Research)

  • Chris Kelly

    (Google Research)

  • Abubakr Babiker

    (Google Research)

  • Nathanael Schärli

    (Google Research)

  • Aakanksha Chowdhery

    (Google Research)

  • Philip Mansfield

    (Google Research)

  • Dina Demner-Fushman

    (National Library of Medicine)

  • Blaise Agüera y Arcas

    (Google Research)

  • Dale Webster

    (Google Research)

  • Greg S. Corrado

    (Google Research)

  • Yossi Matias

    (Google Research)

  • Katherine Chou

    (Google Research)

  • Juraj Gottweis

    (Google Research)

  • Nenad Tomasev

    (DeepMind)

  • Yun Liu

    (Google Research)

  • Alvin Rajkomar

    (Google Research)

  • Joelle Barral

    (Google Research)

  • Christopher Semturs

    (Google Research)

  • Alan Karthikesalingam

    (Google Research)

  • Vivek Natarajan

    (Google Research)

Abstract

No abstract is available for this item.

Suggested Citation

  • Karan Singhal & Shekoofeh Azizi & Tao Tu & S. Sara Mahdavi & Jason Wei & Hyung Won Chung & Nathan Scales & Ajay Tanwani & Heather Cole-Lewis & Stephen Pfohl & Perry Payne & Martin Seneviratne & Paul G, 2023. "Publisher Correction: Large language models encode clinical knowledge," Nature, Nature, vol. 620(7973), pages 19-19, August.
    • Handle: RePEc:nat:nature:v:620:y:2023:i:7973:d:10.1038_s41586-023-06455-0
    DOI: 10.1038/s41586-023-06455-0
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    Citations

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    Cited by:

    1. Ching-Nam Hang & Pei-Duo Yu & Roberto Morabito & Chee-Wei Tan, 2024. "Large Language Models Meet Next-Generation Networking Technologies: A Review," Future Internet, MDPI, vol. 16(10), pages 1-29, October.
    2. Chen Gao & Xiaochong Lan & Nian Li & Yuan Yuan & Jingtao Ding & Zhilun Zhou & Fengli Xu & Yong Li, 2024. "Large language models empowered agent-based modeling and simulation: a survey and perspectives," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-24, December.
    3. Zhenjia Chen & Zhenyuan Lin & Ji Yang & Cong Chen & Di Liu & Liuting Shan & Yuanyuan Hu & Tailiang Guo & Huipeng Chen, 2024. "Cross-layer transmission realized by light-emitting memristor for constructing ultra-deep neural network with transfer learning ability," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    4. Soroosh Tayebi Arasteh & Tianyu Han & Mahshad Lotfinia & Christiane Kuhl & Jakob Nikolas Kather & Daniel Truhn & Sven Nebelung, 2024. "Large language models streamline automated machine learning for clinical studies," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    5. Juexiao Zhou & Xiaonan He & Liyuan Sun & Jiannan Xu & Xiuying Chen & Yuetan Chu & Longxi Zhou & Xingyu Liao & Bin Zhang & Shawn Afvari & Xin Gao, 2024. "Pre-trained multimodal large language model enhances dermatological diagnosis using SkinGPT-4," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    6. Yujin Oh & Sangjoon Park & Hwa Kyung Byun & Yeona Cho & Ik Jae Lee & Jin Sung Kim & Jong Chul Ye, 2024. "LLM-driven multimodal target volume contouring in radiation oncology," Nature Communications, Nature, vol. 15(1), pages 1-14, December.

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