
Metis-DoSense Health Analytics is a platform focused on measuring and ensuring quality in medical imaging practices. It is the first system designed to quantify medical image quality and radiation dose at the organ level for individual patient images. Stemming from research at Duke University's Department of Radiology, the platform addresses shortcomings in existing dose monitoring products. It leverages expertise in radiology, imaging, analytics, and machine learning to provide objective measurements, reduce variability, improve diagnostic accuracy, and minimize radiation dose. The technology utilizes digital twinning, contrast perfusion models, and advanced processing with AI to optimize image quality across patient cohorts, ultimately aiming to reduce costs associated with repeat imaging and improve patient care.

Metis-DoSense Health Analytics is a platform focused on measuring and ensuring quality in medical imaging practices. It is the first system designed to quantify medical image quality and radiation dose at the organ level for individual patient images. Stemming from research at Duke University's Department of Radiology, the platform addresses shortcomings in existing dose monitoring products. It leverages expertise in radiology, imaging, analytics, and machine learning to provide objective measurements, reduce variability, improve diagnostic accuracy, and minimize radiation dose. The technology utilizes digital twinning, contrast perfusion models, and advanced processing with AI to optimize image quality across patient cohorts, ultimately aiming to reduce costs associated with repeat imaging and improve patient care.
Founded: December 2017
Headquarters: Chapel Hill, North Carolina, USA
Product: METIS-DoSense — organ-level image quality and CT radiation dose measurement platform
Latest disclosed funding: Grant announced Sep 22, 2022
Medical imaging quality assurance and radiation dose monitoring/optimization
2017
Health analytics / Medical imaging
Recorded funding event announced Sept 22, 2022; publicly reported as a grant.