e-ISSN: Pending
Abandoned HypothesisOpen accessMedicine

Reassessing the evidence linking clinical leadership to AI deployment outcomes.

Bair H · 2026 · NPJ digital medicine

WASTE classifies this as Abandoned Hypothesis · AI classification, approximate

A hypothesis was tested and not supported — a dead end worth knowing about before you pursue it.

Abstract (excerpt)

Li et al. report that clinician last authorship is associated with greater "impact" in AI deployment trials. This commentary argues that current evidence is insufficient to attribute this to clinical leadership per se. Concerns include…

Excerpt shown for reference under fair use — read the full paper at the publisher.

About to run something similar?

Run an AI Precheck on your own design to catch failure modes like this one before you spend the time. Your first desk check is free.

WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.

Metadata source: Europe PMC · DOI 10.1038/s41746-026-02911-z