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Aprovechamiento de la inteligencia artificial para el soporte de decisiones clínicas en la recomendación de regímenes estándar personalizados para el cáncer

  • role： Contribute equally, First author同等贡献者, 第一作者
  • Affiliation：

    Clinical Trial Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China

Ya-Le Jiang1,  
  • role： Contribute equally同等贡献者
  • Affiliation：

    Clinical Trial Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China

Guo Zhao1,  
  • role： Corresponding author通信作者
  • Affiliation：

    Clinical Trial Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China

  • Email：wangshuhang@cicams.ac.cn
  • Introduction：* Shu-Hang Wang wangshuhang@cicams.ac.cn
Shu-Hang Wang1*,  
  • role： Corresponding author通信作者
  • Affiliation：

    Clinical Trial Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China

  • Email：lining@cicams.ac.cn
  • Introduction：Ning Li lining@cicams.ac.cn
Ning Li1*

resumen

palabra clave

Inteligencia artificial (IA);Medicina de precisión;Estándar de atención

References

  1. 1..
    Topol EJ. High-performance medicine: the convergence of human and artificial intelligence. Nat Med. 2019;25(1):44-56.
  2. 2..
    Chang TG,Park S,Schäffer AA,Jiang P,Ruppin E. Hallmarks of arti-ficial intelligence contributions to precision oncology. Nat Cancer.2025;6(3):417-31.
  3. 3..
    Hswen Y,Rubin R. An AI chatbot outperformed physicians and physicians plus AI in a trial- what does that mean?. JAMA. 2025;333(4):273-6.
  4. 4..
    Cabral S,Restrepo D,Kanjee Z,Wilson P,Crowe B,Abdulnour RE, et al. Clinical reasoning of a generative artificial intelligence model compared with physicians. JAMA Intern Med. 2024;184(5):581-3.
  5. 5..
    Goh E,Gallo R,Hom J,Strong E,Weng Y,Kerman H, et al. Large language model influence on diagnostic reasoning: a randomized clinical trial. JAMA Netw Open. 2024;7(10):e2440969.
  6. 6..
    Zhang YP,Zhang XY,Cheng YT,Li B,Teng XZ,Zhang J, et al. Artificial intelligence-driven radiomics study in cancer: the role of feature engi-neering and modeling. Mil Med Res. 2023;10(1):22.

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