주요 콘텐츠로 건너뛰기

귀하의 브라우저가 완벽하게 지원되지 않습니다. 옵션이 있는 경우 최신 버전으로 업그레이드하거나 Mozilla Firefox, Microsoft Edge, Google Chrome 또는 Safari 14 이상을 사용하세요. 가능하지 않거나 지원이 필요한 경우 피드백을 보내주세요.

이 새로운 경험에 대한 귀하의 의견에 감사드립니다.의견을 말씀해 주세요새 탭/창에서 열기

Elsevier
엘스비어와 함께 출판

ClinicalKey AI for Residents

Coming in August 2024.

Reserve your spot!
Residents discussing a case

Trusted Content. Powered by Responsible AI

With ClinicalKey AI you can

  • 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.

Product screenshot

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.

Librarian picto

IMR

Internal Medicine Resident

ClinicalKey AI Wins “AI Innovation Award” in 8th Annual MedTech Breakthrough Awards Program. Read the press release here

MedTech Breakthrough Award logo

MBA(

MedTech Breakthrough Award (1)

최고의 컴퓨터화된 의사결정 지원 솔루션 부문 4회 수상

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