Your Location：
Home >
Browse articles >
Integrating artificial intelligence with human reasoning in oncology: questions on real-world implementation and patient-centric evidence
COMMENTARY | Updated：2026-05-08
Previous|Next

    • Integrating artificial intelligence with human reasoning in oncology: questions on real-world implementation and patient-centric evidence

    • Carlos M. Ardila , Anny Marcela Vivares-Builes , Eliana Pineda-Vélez
    • Military Medical Research Vol. 13, Issue 3, Pages: 515-516(2026)

    • DOI： 10.1186/s40779-025-00663-7     

      CLC：

    • Accepted：26 October 2025 ，

    Scan QR Code

  •  
  •  

  • Full Text(HTML)

  • References

  • Publication Info

  • Metrics

Sections
icon
The trial reading is over, you can activate your VIP account to continue reading.
Deactivate >
icon
The trial reading is over. You can log in to your account, go to the personal center, purchase VIP membership, and read the full text.
Already a VIP member?
Log in >

36

Views

46

Downloads

0

CSCD

Alert me when the article has been cited
Submit
Tools
  • BibTeXDownload
  • EndnoteDownload
  • RefMan Download
  • NoteExpressDownload
  • NoteFirstDownload

Related Articles

Leveraging artificial intelligence for clinical decision support in personalized standard regimen recommendation for cancer
Non-invasive evaluation of muscle invasion and survival prognosis in bladder cancer using enhanced CT-based deep learning radiomics: a multi-center real-world cohort study
Enhanced CT-based deep learning radiomics for bladder cancer prognosis
Maladaptive reorganization of mediodorsal thalamus as a central mechanism in neuropathic pain-related sleep disorders
Endothelial barrier and sepsis: mechanisms and potential therapeutic strategies

Related Author

Ya-Le Jiang
Guo Zhao
Shu-Hang Wang
Ning Li
Shu-Hang Wang
Ning Li
Yun-Bo He
Jiao Hu

Related Institution

Clinical Trial Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College
Department of Urology, Xiangya Hospital, Central South University
National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University
Department of Urology, the Second Affiliated Hospital, Guizhou Medical University
Department of Pathology, the Third Xiangya Hospital of Central South University