BrainX Community Announcement
AIMed events discount special for BrainX Community members.
Discount code: EEB20.
Thanks to the leadership of AIMed,a special discount has been offered to BrainX Community members for all AIMed events during rest of 2019.
Use discount code: EEB20
Checkout the events and register today!
Thank you Anthony Chang, MD, MBA, MPH, MS.,Freddy White , Kristine Lane.
Read about guidelines on ethics for use of AI in healthcare as developed by PATH (Partnership for Artificial Intelligence, Telemedicine and Robotics in Healthcare) and shared by Jonathan Linkous.
DATA EMPATHY AND AI
A two part article written by Kevin Michael Mooney, Esq.,Senior Director, Enterprise Data Governance,Cleveland Clinic.
It presents an excellent and comprehensive view point on data management, artificial Intelligence applications and it's associated ethical and legal challenges.
Clarifying and detailing some of the ethical and legal principles, it's a must read to understand this context of data management and AI in healthcare beyond building and implementing algorithms.
A simple but exclusive 14 step guide compiled by members of BrainX Community to help get started with machine learning in healthcare.
Learning the basic programming skills, resources needed to get started on a project and more are all outlined in this simple guide.
Most importantly, it's a primer in getting bilingual and fostering collaboration between healthcare professionals and machine learning experts.
Facts and Figures
1300+ international members:Largest online community for machine learning in healthcare.
15 Live monthly monthly sessions since May 2018.
Largest repository of data sources links.
Single place for curated machine learning in healthcare scientific articles.
Diversity in membership including Medical Students, Computer Science Graduate and Postgraduate Students, Physicians, Data Scientists, AI/ML Academicians, University Professors, Inventors, Innovation Managers, Entrepreneurs and even High School Students!
Machine Learning in healthcare for good.
Connect, learn and share scientific knowledge about applications of Machine Learning in healthcare.
Connect and Contribute
Keep visiting us as we are developing this on a daily basis.
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