一项2026年的研究显示,美国公众对AI医疗的信任度下降,只有44%的人相信AI医疗,尽管目前使用者中的信任度很高。 A 2026 study shows declining U.S. public trust in AI healthcare, with only 44% trusting it, despite high confidence among current users.

一项2026年的研究显示,在美国医疗中,人工智能使用的信任差距日益扩大,目前88%的用户信任人工智能,而非用户只有38%,导致总体公共信任水平为44%,低于2024年的52%。 A 2026 study reveals a growing trust gap in AI use within U.S. healthcare, with 88% of current users trusting AI compared to only 38% of non-users, resulting in an overall public trust level of 44%, down from 52% in 2024. 虽然87%的当前用户对人工智能持积极态度,但对准确性,隐私和人类护理的损失的担忧仍然存在,限制了采用. While 87% of current users view AI positively, concerns over accuracy, privacy, and loss of human care persist, limiting adoption. 尽管对未来使用感兴趣,但38%的美国人仍然不感兴趣,33%的人不确定。 Despite interest in future use, 38% of Americans remain uninterested, and 33% are unsure. 专家强调透明度和医生参与是建立信任的关键。 Experts stress transparency and physician involvement are key to building trust. 与此同时,在数字化、远程医疗和效率需要的驱动下,全球对话性AI保健市场预计将扩展到2033年,主要技术公司带头创新。 Meanwhile, the global conversational AI healthcare market is projected to expand through 2033, driven by digitization, telemedicine, and efficiency needs, with major tech firms leading innovation.