Events Calendar

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12:00 AM - TEDMED 2017
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TEDMED 2017
2017-11-01 - 2017-11-03    
All Day
A healthy society is everyone’s business. That’s why TEDMED speakers are thought leaders and accomplished individuals from every sector of society, both inside and outside [...]
AMIA 2017 Annual Symposium
2017-11-04 - 2017-11-08    
All Day
Call for Participation We invite you to contribute your best work for presentation at the AMIA Annual Symposium – the foremost symposium for the science [...]
Beverly Hills Health IT Summit
2017-11-09 - 2017-11-10    
All Day
About Health IT Summits U.S. healthcare is at an inflection point right now, as policy mandates and internal healthcare system reform begin to take hold, [...]
Forbes Healthcare Summit
2017-11-29 - 2017-11-30    
All Day
ForbesLive leverages unique access to the world’s most influential leaders, policy-makers, entrepreneurs, and artists—uniting these global forces to harness their collective knowledge, address today’s critical [...]
Events on 2017-11-01
TEDMED 2017
1 Nov 17
La Quinta
Events on 2017-11-04
AMIA 2017 Annual Symposium
4 Nov 17
WASHINGTON
Events on 2017-11-09
Beverly Hills Health IT Summit
9 Nov 17
Los Angeles
Events on 2017-11-29
Forbes Healthcare Summit
29 Nov 17
New York
Articles

Microsoft, 16 health systems shape AI

Sixteen health systems, in collaboration with Microsoft and other healthcare technology organizations, have established the Trustworthy & Responsible AI Network (TRAIN). This initiative focuses on defining best practices and standards for AI in healthcare to improve the quality and trustworthiness of AI applications. TRAIN aims to ensure responsible development and evaluation standards for technologies like patient screening and administrative task automation. Major health systems including Mercy, Mass General Brigham, Providence, Cleveland Clinic, and AdventHealth are part of TRAIN, along with partners OCHIN and TruBridge. The goal is to make TRAIN’s benefits accessible to organizations of all sizes. Founding members of TRAIN were also part of the Coalition for Health AI (CHAI), and TRAIN will build upon CHAI’s work to operationalize principles for trustworthy healthcare AI.