Health artificial intelligence is here, but are we measuring what matters?
Limits in prevailing approaches to health AI evaluation are examined and a framework prioritizing outcomes-based, systems-level assessment aligned with healthcare delivery goals is proposed, contrasting a deontological focus on methodological standards with a consequentialist framework emphasizing real-world impact.