Get ClinicalKey AI free for a year as a med student in US & Canada
使用 ClinicalKey AI 帮助提升患者护理
负责任地创新，并通过循证临床内容和高级生成式 AI 的强大组合，支持临床医生提供高质量的护理。
释放人工智能在临床决策中的力量
使临床医生能够快速做出明智决策
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这款创新型临床决策支持解决方案以负责任的人工智能为动力，通过在护理点提供源自可信循证内容的相关见解，帮助化复杂为清晰。
自然语言查询使临床医生能够以对话的形式提出问题，从而可以根据原始问题的上下文提出后续问题。
有明确引文的参考文献可直接链接到已发表的支持性证据，从而验证决策的正确性。
可根据临床医生的个人资料进行个性化回复，并根据提示 考虑患者的具体情况，如年龄、合并症和当前用药情况。
在几秒钟内获取循证资源
ClinicalKey AI 专为临床应用而设计，提供最新信息，深受全球临床医生的青睐：
多种循证内容来源，包括《柳叶刀》、《Braunwald's》和《Goldman-Cecil》等 ClinicalKey 内容子集，以及值得信赖的非 ClinicalKey 内容，每日更新
经验丰富的临床医生不断测试ClinicalKey 人工智能输出结果的帮助性、正确性等
帮助临床医生接受人工智能在医疗保健领域的应用
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虽然将新技术整合到工作流程中有时具有挑战性，但 ClinicalKey AI 旨在帮助提升临床医生的体验，并为他们注入信心：
直观的人工智能工具 可为临床医生提供支持，而不是取而代之
促进负责任的临床决策 的合理防护措施
先进的信息有助于提升临床医生的知识水平，支持他们的职业旅程
2025 年人工智能创新医疗技术突破奖
ClinicalKey AI 曾两度荣获医疗技术人工智能创新突破奖，并在以下方面获得认可：
将服务扩展到 50 多个国家，使生成式人工智能辅助临床决策在全球范围内得以实现。
将 ClinicalKey 嵌入临床工作流程的新功能，包括混合应用程序和通过 Epic 的单点登录 (SSO)。
继续医学教育和董事会呈文功能支持持续的专业发展。
扩大内容覆盖面，提供指南和全文期刊文章，包括美国心脏病学会的实践指南。
ClinicalKey AI supports clinicians with:
Natural language queries
Natural language queries
Ask questions in a conversational format with AI technology that allows for natural language queries.
Summarized responses drawn from evidence-based content sources
Summarized responses drawn from evidence-based content sources
Multiple evidence-based content sources are updated daily.
Responses that consider patient context when prompted
Responses that consider patient context when prompted
For example, comorbidities, current medications, age.
Ability to ask follow-up questions
Ability to ask follow-up questions
Follow-up questions pull the context from the original question.
References with linked citations
References with linked citations
Direct links to the supporting published evidence.
Personalization
Personalization
Provides personalized responses based on the clinician’s profile.
Discover how ClinicalKey AI can help improve outcomes for every patient
Healthcare leaders
Speak with an Elsevier sales representative to discuss integrating ClinicalKey AI into your workflow.
Winner of the 2025 MedTech Breakthrough Award for AI Innovation
Clinicians and residents
Experience how ClinicalKey AI can help you transform complexity into clarity.
您是现有客户吗？
利用 ClinicalKey AI 提供的所有功能，包括
对话式搜索
从循证内容来源中总结出的答案
带链接的参考文献
现在就开始搜索。
我们花费了大量时间使用这些工具，评估并确保它们正常运行。归根结底，我们的提供者是为患者做出决策，但他们正在通过 AI 得到增强，对我来说，这以最好的方式为患者服务。因为那个人类正在利用世界上的所有内容。
John Brownstein, MD
Boston Children's Hospital 的 CIO
相关资源
ClinicalKey AI is a clinical decision support tool that combines trusted, evidence-based clinical content with conversational search powered by generative AI. It is designed to assist clinicians in making informed decisions at the point of care by providing quick access to reliable information.
Using natural language queries, clinicians access comprehensive resources—journal articles, textbooks, clinical overviews, drug info, and more— to help support efficient clinical workflows and productivity. ClinicalKey AI helps identify accurate diagnoses efficiently, ensuring high-quality, reliable information.
ClinicalKey AI draws exclusively from trusted, copyright-cleared proprietary and third-party sources, ensuring access to reliable clinical evidence. Each response includes citations linked to published evidence, promoting trust and enabling further exploration.
ClinicalKey AI mitigates risk and fosters trust by using a secure platform of copyright cleared content, including proprietary Elsevier content and trusted third-party sources. This provides breadth and depth in the information available to clinicians.
Yes, each summary generated by ClinicalKey AI includes citations that link directly to the supporting published evidence. This allows clinicians to explore further when needed and verify the information.
For over 10 years, Elsevier has used AI and machine learning responsibly in our products, combining it with unparalleled peer-reviewed content, extensive data sets and sophisticated analytics.
ClinicalKey AI is developed in line with Elsevier's Five Responsible AI Principles:
We consider the real-world impact of our solutions on people.
We take action to prevent the creation or reinforcement of unfair bias.
We can explain how our solutions work.
We create accountability through human oversight.
We respect privacy and champion robust data governance.
新报告： 2023 年未来临床医生教育版 (2)
该产品目前仅在美国销售。