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Which principle of explanation design is most important for AI diagnostic support to be accepted by physicians in clinical practice?
①Provide a concise, clinically meaningful rationale from a physician's perspective.
②Disclose all of the model's equations and parameters in detail.
③Maximize model complexity for the best predictive performance.
④Conceal the internal processing and treat it as a black box.
⑤Rely solely on visual graphs and omit technical explanations.