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Breaking Barriers of Artificial Intelligence and Machine Learning in Digital Health

By
Mohan Lal Tarun ,
Mohan Lal Tarun
Bradley J. Erickson ,
Bradley J. Erickson

Mayo Clinic College of Medicine and Science in Rochester , Minnesota

Elad Walach
Elad Walach

Aidoc Israel

Abstract

As the pace of innovation and adoption in healthcare runs at light speed, we now need to consider deployments and operationalizing tech as this lags today. Panelists will share challenges from a case use, data variability factors, how to build tools and clean data to train algorithms, workflows and what the best impact for healthcare is.

Citation

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 

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