GENERALIZABLE MACHINE LEARNING MEDICAL PROTOCOL RECOMMENDATION

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United States of America

APP PUB NO 20250022597A1
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18713563

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Abstract

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An architecture and techniques for providing a generalizable machine learning recommendation in connection with medical protocols such as radiology protocols. In response to receipt of a medical examination order request in a standardized input format, the system can, based on a machine learning technique, output a recommended protocol according to a standardized output format. The system can then perform a mapping procedure that maps site-specific data to the standardized input format and the standardized output format. The site-specific data can comprise information that is specific to an entity that provides the medical examination order request.

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Patent Owner(s)

Patent OwnerAddress
GE PRECISION HEALTHCARE LLC9900 W INNOVATION DRIVE MILWAUKEE WI 53226

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Bahrami, Naeim San Diego, US 3 18
Chaudhari, Akshay Stanford, US 2 0
Choudhury, Arindam Dutta Bangalore, IN 1 0
Ciano, Amanda Waukesha, US 9 215
Langlotz, Curt Stanford, US 1 0
Loening, Andreas Stanford, US 2 0
Nichols, Steven Okauchee, US 17 204
Pal, Debashish Sunnyvale, US 37 376
Shen, Yaxi Waukesha, US 13 223
Singh, Ravi Raj Bokaro Steel City, IN 8 5

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