Reassessing the evidence linking clinical leadership to AI deployment outcomes

By
Henry Bair
June 13, 2026
0 min

Npj Digital Medicine

Objective:

To assess the validity of the association between clinician last authorship and impact in AI deployment trials as reported by Li et al.

Approach:

Key Findings:

Clinician last authorship is associated with a higher reported impact in AI deployment studies.
88% of studies reported significant impact, raising concerns about publication bias.
Statistical models used may yield unstable estimates due to the rarity of non-impactful outcomes.
Authorship order may not reliably indicate leadership, especially in multidisciplinary teams.

Interpretation:

The association between clinician last authorship and study impact is reported, with potential influences from publication bias and statistical modeling challenges.

Limitations:

High percentage of positive outcomes suggests potential publication bias.
Statistical instability due to low number of non-impactful studies.
Last authorship may not accurately reflect leadership in multidisciplinary contexts.