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Elsevier
論文を投稿する

World class clinical information meets artificial intelligence

The power of ClinicalKey delivered directly to physicians, residents and students. Designed for individual use, ClinicalKey AI combines trusted, evidence-based clinical content with responsible AI to support healthcare professionals in answering questions for patients at the point of care. Coming in August.

Reserve your spot!
physician using ipad

Unlock the power of AI in clinical decision making.

Elevate clinician expertise

Elsevier’s use of generative AI focuses on supporting more efficient and effective decision making, our content is research rich, curated by clinical editors and aligned with standard clinical guidelines, helping to support more efficient and effective decision making.

  • Ask clinical questions the way you would a trusted specialist or colleague with

    conversational search

    backed by comprehensive, evidence-based content

  • Confident decision making

    that includes references with linked citations to supporting published evidence

  • Ease of use by aligning with existing clinical workflow

Product screenshot

What sets ClinicalKey AI above anything else that I’ve ever experienced is the ability to dialogue back and forth. You ask a question. It responds. Based on the answers that it provides you dig a little deeper and you ask a further question, and you can dialogue back and forth in virtually real time.

Librarian picto

CMI

CMIO, mid-sized IDN

Great tool. It is fast and easy to find answers that are accurate and evidence-based. I found a quick answer to treatment of hypertension in a patient that would have required 20 minutes longer to research.

Librarian picto

CMI

CMIO, mid-sized IDN

Developed responsibly

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

  1. We consider the real-world impact of our solutions on people. 

  2. We take action to prevent the creation or reinforcement of unfair bias. 

  3. We can explain how our solutions work. 

  4. We create accountability through human oversight. 

  5. We respect privacy and champion robust data governance. 

Elsevier's Five Responsible AI Principles