CRADLE

Our Focus

Artificial intelligence is fundamentally transforming the use of medical imaging. CRADLE is a collaborative center that develops, validates, and deploys deep learning technologies to detect cardiac diseases earlier.

Our Projects

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  ValveNet

  Detecting valvular heart disease from electrocardiograms

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  CheXchoNet

  Using chest x-rays to find heart failure before symptoms develop

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  Cardiac Amyloidosis Discovery

  Detecting an underdiagnosed form of heart failure from electrocardiograms and echocardiograms

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  IntroECG

  Our tutorial on everything you need to start doing machine learning with electrocardiograms

• Antiracist AI

  Using AI models to correct for referral bias in clinical care

• TRAIN-Cardio

  Our collaboratory network, the Taskforce for Research Advancement of Artificial Intelligence in Cardiology

People

• 

  Pierre Elias

  Principal Investigator

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  Timothy Poterucha

  Principal Investigator

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  Chris Haggerty

  Principal Investigator

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  Linyuan Jing

  Senior Data Scientist

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  Azadeh Keivani

  Senior Data Scientist

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  Aaron Long

  Senior Data Scientist

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  Daniel Rocha

  Lead Data Analyst

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  Chris Kelsey

  Lead Data Analyst

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  Dustin Hartzel

  Lead Data Analyst

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  Joshua Finer

  ML Ops Engineer

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  Jeffrey Ruhl

  Research Development Manager

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  David vanMaanen

  ML Ops Engineer

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  Ramon D. Pimentel Ricart

  Clinical Trial Coordinator

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  Shreyas Bhave

  PhD Candidate, Perotte Lab

• 

  Victor Rodriguez

  MD/PhD Candidate, Perotte Lab