AI consequence point, interpretive drift, and attentional displacement

PREPRINT — Not peer reviewed. Version 1.0. This correspondence connects the AI consequence point described by Saito and Ohira, interpretive drift described by Feren, and my proposed concept of artificial intelligence-induced attentional displacement (AIIAD). I consider how AI may change the clinical account and redirect what a clinician notices, seeks, weighs, or reconsiders, even when the clinician rejects an AI-generated conclusion. A simple diagram presents a hypothesized pathway to downstream diagnostic effects. The proposed links are not an established causal sequence and require empirical testing. This is a conceptual letter, not a report of new empirical research. Related work: This is a separate correspondence from the foundational AIIAD preprint, Artificial intelligence-induced attentional displacement in clinical diagnosis (https://doi.org/10.5281/zenodo.22727468). AI assistance: OpenAI ChatGPT assisted with literature verification, organization, drafting, editing, figure preparation, and reference checking. The author reviewed and revised the manuscript and accepts responsibility for its accuracy, attribution, and final content.