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Xiyi Chen

Biographic Data

ID7290626
NAMEXiyi Chen
GIVEN NAMESXiyi
FAMILY NAMEChen
SIGNATURECHEN X
AFFILIATIONSShanghai Jiao Tong University
ORCID0009-0006-8415-4059
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Establishing Responsibility Systems for AI Application in Clinical Decision-Making

    Open Access•Xiyi Chen•ARTICLE•Asian Journal of Law and Society•2026

    AI in clinical decision-making challenges liability frameworks grounded in subject–object dichotomies, linear causation, and atomised attribution. Drawing on relational responsibility, this article argues that the human–machine association, rather than the AI system or clinician alone, should be treated as the fundamental decision-making unit. Responsibility should therefore emphasise interaction quality, harm prevention, and relationships that s…

  • Babaodan suppresses inflammatory and vascular microenvironment in triple-negative breast cancer by inhibiting the cGAS-STING/NF-κB signaling pathway

    Open Access•Baoyong Lai, Wenxuan Zeng et al.•ARTICLE•Journal of Ethnopharmacology•2026

  • Babaodan inhibits cell proliferation and metastasis and enhances anti-tumor effects of camrelizumab by inhibiting M2 phenotype macrophages in hepatocellular carcinoma

    Open Access•Caiyan Liu, Xiaowei Lin et al.•ARTICLE•Journal of Ethnopharmacology•2024

No prominent works on this page.

  • Babaodan inhibits cell proliferation and metastasis and enhances anti-tumor effects of camrelizumab by inhibiting M2 phenotype macrophages in hepatocellular carcinoma

    Open Access•Caiyan Liu, Xiaowei Lin et al.•ARTICLE•Journal of Ethnopharmacology•2024

  • Establishing Responsibility Systems for AI Application in Clinical Decision-Making

    Open Access•Xiyi Chen•ARTICLE•Asian Journal of Law and Society•2026

    AI in clinical decision-making challenges liability frameworks grounded in subject–object dichotomies, linear causation, and atomised attribution. Drawing on relational responsibility, this article argues that the human–machine association, rather than the AI system or clinician alone, should be treated as the fundamental decision-making unit. Responsibility should therefore emphasise interaction quality, harm prevention, and relationships that s…

  • Babaodan suppresses inflammatory and vascular microenvironment in triple-negative breast cancer by inhibiting the cGAS-STING/NF-κB signaling pathway

    Open Access•Baoyong Lai, Wenxuan Zeng et al.•ARTICLE•Journal of Ethnopharmacology•2026

Metastasis (2 works) · algorithmic trust (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Biochemistry (1 work) · Biology (1 work) · Breast cancer (1 work) · Burden of proof (1 work) · Cancer (1 work) · Cancer Mechanisms and Therapy (1 work) · Cancer Research (1 work)

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