Launching Gen AI Academy for Health. Complimentary CME-Accredited Course.

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At Elsevier Health, we combine trusted content, human expertise, and responsible AI to help optimize patient outcomes and enhance learning experiences for healthcare professionals and students. Our solutions empower informed decisions, boost confidence, and build trust in AI.
Discover how AI is revolutionizing healthcare for the benefit of every patient.
At Elsevier, we view AI as a powerful tool that streamlines knowledge discovery, helping clinicians enhance decision making and students enrich learning experiences.
Optimizing evidence-based decision making with AI By utilizing conversational search powered by generative AI, ClinicalKey AI provides clinicians with quick access to trusted clinical knowledge, helping them enhance their expertise, increase their confidence and deliver optimal care.
Transforming nursing education with conversational AI Sherpath AI enriches the learning experience for nursing students and educators with time-saving features and personalized content, promoting readiness for practice.
At Elsevier, we prioritize responsible AI practices, emphasizing transparency, bias mitigation, and human oversight to uphold trust and integrity in our tools and insights. For over 20 years, we have leveraged AI and machine learning responsibly in our products, empowering healthcare professionals, students, and educators to be more effective every day.
Explore Elsevier's commitment to responsible AI in healthcare, where trust is established through solutions grounded in verified, evidence-based research.
In this video, Elsevier’s content experts Dr. Louise Chang, MD, FACP, Global VP Strategy and Partnerships and Mie-Yun Lee, Chief of Staff describe the benefit of Elsevier’s deep history of trusted content and the impact it has on the quality of our AI tools.
“Elsevier is uniquely positioned to deliver clinical AI initiatives because of our strength in our content and our history in delivering evidence-based, peer-reviewed information to clinicians around the world.” Louise Chang, MD, FACP, Global VP, Clinical Solutions Strategy and Partnerships at Elsevier
Watch the video to learn from Elsevier’s technology experts, Katie Scranton, PhD, Technical Lead for ClinicalKey AI, and Rhett Alden, PhD, Chief Technology Officer as they discuss how a responsible AI framework can effectively address ethical challenges in healthcare AI and provide insights into the future of AI in the industry.
At Elsevier, we prioritize understanding our partners’ needs and challenges. By listening to their feedback and using AI responsibly, we create tailored solutions that help them achieve their goals and accelerate their AI strategy.
Hear from our partners:
"Generative AI isn't about replacing a doctor's training, intuition or expertise, it's about amplifying it. It is having the world's medical library at your fingertips, instantly summarizing massive amounts of research and literature at the bedside."
Dusadee Sarangarm, MD, Chief Medical Information Officer, University of New Mexico Health
Discover the future of healthcare with the 'Conversations in Action' series, led by Dr Rahul Goyal, Clinical Executive, Elsevier. This ongoing series features insights from industry leaders and Elsevier experts on AI's transformative role in healthcare across the globe.
“At Arizona State University, we are seeking innovative ways to enhance student success and broaden access to nursing education. Especially as we prepare to launch ASU Health, the potential for generative AI to transform learning and teaching is immense, and we're optimistic about how Sherpath AI can support our goals. We see how Sherpath AI can help students succeed in their studies, NCLEX prep, and preparation for practice, and are thrilled that our students will have an opportunity to experience it and share their feedback.”
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Judith Karshmer, Ph.D, MSN, MS, RN
Dean of the Edson College of Nursing and Health Innovation at Arizona State University
Discover the latest articles from Elsevier's Artificial Intelligence in Medicine journal, featuring topics such as AI-based clinical decision making and natural language processing in medicine.
Trustworthy clinical AI solutions: A unified review of uncertainty quantification in Deep Learning models for medical image analysis opens in new tab/window Benjamin Lambert, ... Michel Dojat, April 2024
Challenges and strategies for wide-scale artificial intelligence (AI) deployment in healthcare practices: A perspective for healthcare organizations opens in new tab/window Pouyan Esmaeilzadeh, May 2024
“As healthcare systems around the world continue to face significant challenges, we must raise the voices of current and future healthcare professionals to understand how we can best support them and drive better outcomes. By combining trusted medical content with the power of generative AI, we can enable faster and more efficient access to evidence-based information to support their clinical decisions and learning experiences."
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Jan Herzhoff, PhD
President at Elsevier Health