DETECT ARDS

Written By Phil Jacokes

Project Description

DETECT-ARDS is an analytic for Detecting Acute Respiratory Distress Syndrome. It enables early and accurate detection of the acute respiratory distress syndrome (ARDS) by leveraging artificial intelligence (AI) to interpret and understand visual images with human-level accuracy.

PI(s)

Michael Sjoding, MD
Sardar Ansari, PhD

Value Proposition

DETECT-ARDS is a new approach for identifying ARDS findings on chest x-rays. With ARDS often missed or under-diagnosed, DETECT_ARDS has the potential to transform patient outcomes for the better. By training powerful algorithms called deep convolutional neural networks (CNNs), our system can identify findings consistent with ARDS with high accuracy.

Intellectual Property

Invention Disclosure # 2020-026

AI & Digital Health Innovation Support

Digital Health Innovation supported the Weil Institute by implementing the model for prospective data validation.

Phil Jacokes
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