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Governing Clinical Readiness Claims Derived from Medical AI Benchmark Results.

The article focuses on the challenges of interpreting medical artificial intelligence (AI) benchmark results as evidence of clinical readiness. It distinguishes between the AI model being tested, the benchmark environment, and the clinical claims derived from benchmark scores, highlighting the risk...

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Published in:Journal of Medical Systems Vol. 50; no. 1; pp. 1 - 6
Main Authors: Dong, Yin, Cheng, Jiwei, Ding, Chao, Lu, Renjie
Format: tables/charts Journal Article
Published: Springer Nature 7/28/2026
Online Access:View this record in EBSCOhost
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      dt: 7/28/2026
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      pub: Springer Nature
      place: New York, New York
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        10.1007/s10916-026-02445-7
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        atl: Governing Clinical Readiness Claims Derived from Medical AI Benchmark Results.
      aug:
        au:
          Dong, Yin
          Cheng, Jiwei
          Ding, Chao
          Lu, Renjie
        affil: https://ror.org/00z27jk27 Putuo Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
      sug:
        subj:
          Hospital Information Systems
          Artificial Intelligence
          Billing and Claims
          Benchmarking
          Clinical Governance
          Workflow
          Systems Integration
          Systems Validation
          Documentation
          User-Computer Interface
          Automation
          Task Performance and Analysis
          Institutional Review
          Communication
          External Validity
      ab: The article focuses on the challenges of interpreting medical artificial intelligence (AI) benchmark results as evidence of clinical readiness. It distinguishes between the AI model being tested, the benchmark environment, and the clinical claims derived from benchmark scores, highlighting the risk of "benchmark claim inflation," where benchmark performance is overstated as deployment readiness without sufficient local validation, human factors evaluation, or workflow integration. To address this, the authors propose a "benchmark claim card," a governance tool that documents the scope, limitations, and evidentiary boundaries of benchmark-derived claims to prevent overclaiming and support responsible institutional review before procurement or deployment. The article emphasizes that while benchmarks are essential for controlled model comparison, they do not substitute for real-world evidence needed to ensure safe and effective clinical use.
      pubtype: Academic Journal
      doctype:
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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