PDF(Pubmed)
Abstract：
Breast cancer remains the most prevalent cancer among women worldwide, necessitating advancements in diagnostic methods. The integration of artificial intelligence (AI) into mammography has shown promise in enhancing diagnostic accuracy. However, understanding patient perspectives, particularly considering the psychological impact of breast cancer diagnoses, is crucial. This narrative review synthesizes literature from 2000 to 2023 to examine breast cancer patients\' attitudes towards AI in breast imaging, focusing on trust, acceptance, and demographic influences on these views. Methodologically, we employed a systematic literature search across databases such as PubMed, Embase, Medline, and Scopus, selecting studies that provided insights into patients\' perceptions of AI in diagnostics. Our review included a sample of seven key studies after rigorous screening, reflecting varied patient trust and acceptance levels towards AI. Overall, we found a clear preference among patients for AI to augment rather than replace the diagnostic process, emphasizing the necessity of radiologists\' expertise in conjunction with AI to enhance decision-making accuracy. This paper highlights the importance of aligning AI implementation in clinical settings with patient needs and expectations, emphasizing the need for human interaction in healthcare. Our findings advocate for a model where AI augments the diagnostic process, underlining the necessity for educational efforts to mitigate concerns and enhance patient trust in AI-enhanced diagnostics.
摘要：
乳腺癌仍然是全球女性中最常见的癌症，需要改进诊断方法。将人工智能（AI）集成到乳房X线照相术中已显示出提高诊断准确性的希望。然而,理解病人的观点，特别是考虑到乳腺癌诊断的心理影响，至关重要。这篇叙述性综述综合了2000年至2023年的文献，以检查乳腺癌患者对乳腺成像中AI的态度，专注于信任，接受,以及人口对这些观点的影响。方法上,我们在PubMed等数据库中进行了系统的文献检索，Embase,Medline,还有Scopus,选择提供对患者对人工智能在诊断中的看法的见解的研究。我们的审查包括经过严格筛选的七项关键研究的样本，反映不同的患者对AI的信任和接受水平。总的来说,我们发现患者明显倾向于AI增强而不是取代诊断过程，强调放射科医师的专业知识与人工智能相结合的必要性，以提高决策的准确性。本文强调了将临床环境中的AI实施与患者需求和期望保持一致的重要性，强调医疗保健中人类互动的必要性。我们的发现主张建立一个AI增强诊断过程的模型，强调教育工作的必要性，以减轻对AI增强诊断的担忧并增强患者的信任。
