Background/Objectives: Artificial intelligence (AI) is increasingly applied in breast imaging, with potential to improve diagnostic accuracy and reduce workload in mammographic breast cancer screening. However, real-world integration of AI into national screening programs remains limited, and little is known about radiologists’ perspectives in Asian settings. This study aimed to explore radiologists’ perceptions of AI adoption in Singapore’s breast screening program, focusing on perceived benefits, barriers, and requirements for safe integration. Methods: We conducted a mixed methods study involving a cross-sectional survey of 17 radiologists with prior experience using AI-assisted mammography, followed by semi-structured interviews with 10 radiologists across all three public healthcare clusters. The survey measured confidence in AI, attitudes toward its diagnostic role, and integration preferences. Interviews were analyzed thematically, guided by the Unified Theory of Acceptance and Use of Technology (UTAUT) framework. Results: Among survey respondents, 64.7% recommended AI as a companion reader, though only 29.4% rated its performance as comparable to humans. Confidence was highest when AI was validated on local datasets (mean 9.3/10). Interviews highlighted AI’s strengths in routine, fatigue-prone tasks, but skepticism for complex cases. Concerns included false positives, workflow inefficiencies, medico-legal accountability, and long-term costs. Radiologists emphasized the importance of national guidelines, local validation, and clear role definition to build trust. Conclusions: Radiologists support AI as an adjunct to, but not a replacement for, human readers in breast cancer screening. Adoption will require robust regulatory frameworks, seamless workflow integration, transparent validation on local data, and structured user training to ensure safe and effective implementation.
背景/目的：人工智能在乳腺影像领域的应用日益广泛，有望提升乳腺癌筛查的诊断准确性并减轻工作负担。然而，人工智能在实际国家筛查项目中的整合应用仍有限，且亚洲地区放射科医师对此的认知尚不明确。本研究旨在探讨新加坡乳腺筛查项目中放射科医师对人工智能应用的看法，重点关注其感知效益、实施障碍及安全整合所需条件。方法：采用混合研究方法，首先对17名具有人工智能辅助乳腺X线摄影经验的放射科医师进行横断面问卷调查，随后对新加坡三大公立医疗集群的10名放射科医师开展半结构化访谈。问卷调查内容涵盖对人工智能的信心度、对其诊断作用的态度及整合偏好。访谈资料以技术接受与使用统一理论为框架进行主题分析。结果：问卷调查显示，64.7%的受访者建议将人工智能作为辅助阅片工具，但仅29.4%认为其性能与人类医师相当。当人工智能基于本地数据集验证时，医师信心度最高（平均评分9.3/10）。访谈发现，医师肯定人工智能在常规性、易致疲劳任务中的优势，但对复杂病例的诊断持保留态度。主要担忧包括假阳性结果、工作流程效率低下、医疗法律问责及长期成本问题。放射科医师强调国家指南、本地化验证及明确角色界定对建立信任至关重要。结论：放射科医师支持将人工智能作为乳腺癌筛查中人类阅片者的辅助工具而非替代方案。其推广应用需要健全的监管框架、无缝的工作流程整合、基于本地数据的透明化验证以及系统化的用户培训，以确保安全有效的实施。
肿瘤(癌症)患者之家