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The gap between ai and the clinic is not accuracy, it’s outcomes

Yethikrishna ROriginal on Threads

the gap between ai and the clinic is not accuracy, it’s outcomes: a nature medicine trial with 9,600 patients found generative ai support improved clinical decisions but did not change patient outcomes, while doctorina beat physicians 82 to 57 percent in top-1 concordance. the tools diagnose better and still change nothing.

the bottleneck moved from the model to the system.

Context

Verified source: Nature Medicine published a study on Jun 26, 2026 of a generative AI-enabled clinical decision support system, set in real-world, low-resource clinical settings (Agweyu et al.). A separate Sep 2026 arXiv paper compared the Doctorina clinical AI system with eight physicians.

The Nature Medicine abstract frames the question as rigorous evidence on large language models in real-world settings.

How it compares

The Nature Medicine decision support study and the Doctorina comparison exist as described. The 9,600 patients, 'did not change patient outcomes' and the 82 to 57 percent top-1 concordance figures were not in the excerpts read, so they are not seen in the sources read, so unsupported here, not refuted. Read the full text before relying on them.

Related work

Watch next

  • Read the Nature Medicine results for patient numbers and outcomes.

Sources

  1. Nature Medicine, Jun 26, 2026nature.com
  2. PMC full textpmc.ncbi.nlm.nih.gov
  3. arXiv, Doctorina comparisonarxiv.org

Provenance

The note above is reproduced unedited from the original post, first published on Threads on 2 October 2026 at 05:23 IST. Sources are the papers and datasets the note draws on.

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