Implications

If the work succeeds:

• Population averages are not treated as automatic warrant for individual decisions.

• Clinical evidence addresses heterogeneity, transportability, and shifting environments explicitly.

• Medical AI is evaluated by decision relevance, not benchmark performance alone.

• Adaptive systems receive continuing validation, monitoring, and clear responsibility.

• Clinical judgment remains where evidence cannot support automation or where the human relationship is part of the value.

• AI-for-science funding distinguishes prediction, causal discovery, mechanism, and theory.

• Privacy and informed consent remain conditions of legitimate medical use.

• AI accelerates discovery and care where evidence is strong enough to justify action.

Negative results should constrain claims, not become a blanket argument against clinical or scientific AI.