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ASO Author Reflections: Large Language Models Offer Substantial Potential for Specialized Applications in the Medical Field

  • ASO Author Reflections
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Acknowledgements

The authors gratefully thank the editors and reviewers for their constructive suggestions to improve this manuscript.

Funding

This work was supported by the National Natural Science Foundation of China (82102171), Shenzhen Science and Technology Innovation Commission (RCJC20200714114557005), the National Natural Science Foundation of China (Tianyuan Fund for Mathematics): 12326610, and Shenzhen Medical Research Fund (SMRF): (A2302048).

Author information

Author notes

  1. Rui Liang, Anguo Zhao, Lei Peng and Xiaojian Xu have contributed equally to this work and are joint first authors.

Authors and Affiliations

  1. Department of Urology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China

    Rui Liang MD, Xiaojian Xu MD & Jianquan Hou PhD

  2. Department of Urology, Medical School, South China Hospital, Shenzhen University, Shenzhen, Guangdong, China

    Rui Liang MD, Anguo Zhao MD, Lei Peng MD, Jianye Zhong MD, Shaohua Zhang PhD & Song Wu PhD

  3. Department of Urology, Dushu Lake Hospital Affiliated to Soochow University, Medical Center of Soochow University, Suzhou Dushu Lake Hospital, Suzhou, Jiangsu, China

    Anguo Zhao MD & Jianquan Hou PhD

  4. Department of Urology, The Third Affiliated Hospital of Shenzhen University (Luohu Hospital Group), Shenzhen University, Shenzhen, Guangdong, China

    Rui Liang MD, Lei Peng MD, Shaohua Zhang PhD & Song Wu PhD

  5. Department of Urology, Lanzhou University Second Hospital, Lanzhou, Gansu, China

    Lei Peng MD & Song Wu PhD

  6. Faculty of Intelligent Manufacturing and Control engineering, Shanghai Polytechnic University, Shanghai, China

    Fan Wu ME

  7. North Sichuan Medical College (University), Sichuan, China

    Lei Peng MD & Fulin Yi MBBS

Authors
  1. Rui Liang MD
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  2. Anguo Zhao MD
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  3. Lei Peng MD
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  4. Xiaojian Xu MD
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  5. Jianye Zhong MD
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  6. Fan Wu ME
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  7. Fulin Yi MBBS
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  8. Shaohua Zhang PhD
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  9. Song Wu PhD
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  10. Jianquan Hou PhD
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Corresponding authors

Correspondence to Shaohua Zhang PhD, Song Wu PhD or Jianquan Hou PhD.

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The authors declare no conflict of interest.

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This article refers to: Liang R, Zhao A, Peng L, et al. Enhanced artificial intelligence strategies in renal oncology: iterative optimization and comparative analysis of GPT 3.5 versus 4.0. Ann Surg Oncol. 2024. https://doi.org/10.1245/s10434-024-15107-0.

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Liang, R., Zhao, A., Peng, L. et al. ASO Author Reflections: Large Language Models Offer Substantial Potential for Specialized Applications in the Medical Field. Ann Surg Oncol (2024). https://doi.org/10.1245/s10434-024-15226-8

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  • DOI: https://doi.org/10.1245/s10434-024-15226-8

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