Human-Centric Clinical AI: A Structural Data Validation Approach for Human-Reliable Medical Inference
This study proposes a precautionary, multi-level auditing framework designed to assess the structural architectural integrity of large-scale clinical datasets prior to computational deployment, and concludes that structural validation is not an elective procedure but an ethical imperative for Human-Centric Clinical AI.