Session ID: 
160

The Lifecycle of a Machine Learning Algorithm

1:00pm - 2:00pm Wednesday, March 11
Orlando - Orange County Convention Center
W230A

Description

The Center for Clinical Data Science (CCDS) at Massachusetts General and Brigham and Women’s Hospitals are focused on developing machine learning models to change the course of patient care. Here we demonstrate the lifecycle of a critical algorithm that uses deep machine learning and artificial intelligence (AI) to detect missed aortic aneurysms in imaging data. The session will explore the fascinating lifecycle of this algorithm from development to AI imaging application, all the way to clinical practice and productizing in the AI Marketplace. Nike Air Max

Learning Objectives

  • Discuss the development of applications and the translation of AI to identify potentially lethal aortic aneurysms in CT scans
  • Describe the process for developing an algorithmic solution to a problem like identifying potentially life-threatening aortic aneurysms
  • Analyze best practices for overcoming the challenges of adopting AI algorithms in clinical practice

Speaker(s)

Executive Director, Center for Clinical Data Science,
MGH & BWH Center for Clinical Data Science, Partners Healthcare

Continuing Education Credits

ABPM
1.00
CAHIMS
1.00
CME
1.00
CNE
1.00
CPHIMS
1.00

Audience

Chief Quality, Chief Clin Transformation Officer
Data Scientist
Technologist

Level

Advanced