現今醫療體系已面臨人力不足與城鄉差距等問題，在AI浪潮之下，許多相關應用已實 施在臨床體系下，然而大部分的醫護人員與病患對於醫療AI的應用持抗拒態度。本研 究針對一般民眾、醫護人員、AI領域人員，在不同疾病風險下進行變數操縱，如AI解 釋性、Simon的有限理性，討論人類對於醫療AI應用態度之影響。此外，與先前研究較 為不同的是本研究清楚界定人類對於信任AI能力與是否接納AI診斷之差別。最後，本 研究成功操作AI解釋性之變數，並證實風險的調節效果，為未來醫療AI臨床應用打下 良好基石。

The current healthcare system faces issues such as workforce shortages and urban-rural disparities. Amid the AI wave, many related applications have already been implemented in clinical systems. However, most healthcare professionals and patients resist the application of medical AI. This study investigates the attitudes toward medical AI applications among the general public, healthcare professionals, and AI specialists, by manipulating variables such as AI explainability and Simon's bounded rationality under different disease risk. Additionally, unlike previous studies, this research clearly differentiates between trust in AI capabilities and acceptance of AI diagnoses. Finally, this study successfully manipulates the variable of AI explainability and confirms the moderating effect of risk, laying a solid foundation for future clinical applications of medical AI.

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