Machine Learning & AI for Healthcare

December 14 - 15, 2021
| Digital

Join the Most Dynamic Event in Healthcare Machine Learning and AI

Machine learning and artificial intelligence are full of possibilities to address some of healthcare’s biggest challenges. Healthcare leaders around the world look to scale the use of machine learning and AI to triage demand, improve patient care, ease provider burden and reduce clinical variation.

Taking place within a best-in-class digital environment, you’ll access content tailored for online experiences with the convenience you need. Enjoy networking opportunities, share insights with clinical and non-clinical staff, and get up-to-the-minute information from security experts.

Drive Outcomes and Innovation with Machine Learning and AI

Attend the Machine Learning & AI for Healthcare Forum to learn how leading healthcare organizations have leveraged the power of machine learning and AI to improve patient care and where they see real ROI—better care, cost containment, and operational improvements and efficiencies.

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A Digital Experience Designed to Connect and Inspire



Interact with colleagues and experts in meaningful ways to reconnect and strengthen your professional network.


CE Credits

HIMSS CE Credits

Measure your professional growth through HIMSS accredited educational courses.

On Demand Content

On-Demand Content

Access our robust machine learning and AI content library on your own time. Digital registrants get all-access to revisit any session, any time.

Sponsorship Opportunities

Machine Learning & AI for Healthcare offers a wide range of sponsorship opportunities for your company to get exposure to the most influential community in healthcare. HIMSS will help you build brand visibility, establish and nurture customer relationships, introduce new products and services, and present your thought-leadership.

Become a Sponsor



"I find the current trends and healthcare applications of AI discussed at this HIMSS event incredibly useful. I always come away with potential strategies and solutions that help inform our own health research and operational projects"
Subha Madhavan, PhD
Chief Data Scientist, Georgetown University Medical Center