Leider unterstützen wir Ihren Browser nicht vollständig. Wenn Sie die Möglichkeit dazu haben, nehmen Sie bitte ein Upgrade auf eine neuere Version vor oder verwenden Sie Mozilla Firefox, Microsoft Edge, Google Chrome oder Safari 14 bzw. eine neuere Version. Wenn Sie nicht dazu in der Lage sind und Unterstützung benötigen, senden Sie uns bitte Ihr Feedback.
Wir würden uns über Ihr Feedback zu diesen neuen Seiten freuen.Sagen Sie uns, was Sie denkenWird in neuem Tab/Fenster geöffnet
Ask clinical questions in a conversational manner and get evidence-backed answers.
Understand patient context like comorbidities and current medications.
Enjoy a tool that learns from you, providing personalized responses based on your profile.
Access linked references to delve deeper into supporting published evidence.
Love this resource! It's been a great tool to have on the general wards to help my patients and impress my attendings. When I was completing my cardiology rotation at John Peter Smith hospital, we had a patient with suspected Takutsobo's Cardiomyopathy. My research on ClinicalKey helped me inform my diagnosis and guide management to help get this patient back up and running.
IMR
Internal Medicine Resident
ClinicalKey AI Wins “AI Innovation Award” in 8th Annual MedTech Breakthrough Awards Program. Read the press release here
MBA2
MedTech Breakthrough Award 2024
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.
