Tempus Pixel Lung radiology solution
Our solution
Tempus Pixel offers advanced analysis and automated reporting from routine CT images to help improve efficiency and accuracy in detecting and tracking changes in lung nodules over time, aiding providers in making informed diagnostic and disease management decisions.
Nodule detection
Automatically detects and segments lung nodules in CT images, helping providers to efficiently and accurately identify potentially significant findings.1,2,3
Nodule quantification
Automatically quantifies and localizes lung nodules in Lung CT images to help providers make efficient, consistent, and accurate assessments.1,2,3
Nodule characterization
Enables characterization of solid & part-solid pulmonary parenchymal nodules on low-dose chest CT images on high-risk patients eligible for participation in lung cancer screening programs in order to aid cancer diagnosis and improve clinical management of patients3
Nodule tracking
Automatically tracks changes in lung nodules across exams over time with tabular and graphical results for deeper insights into disease progression.1,2
Nodule reporting
Automatically builds standardized reporting that summarizes findings and relevant information, including scoring recommendations, for easy interpretation.
References
- In the U.S., Tempus Pixel Lung is FDA-cleared (K252539) but is not indicated for lung nodule detection. In the EU, Tempus Pixel Lung is CE marked and indicated for lung nodule detection. Arterys Inc. is the manufacturer of Tempus Pixel Lung, excluding any third party components described below.
- Lung nodule automated detection and quantification is powered by InferRead CT (K192880). Infervision is the manufacturer of InferRead CT.
- Lung nodule quantification, detection, characterization, and reporting is powered by eyonis® LCS (K251474). Median Technologies is the manufacturer of eyonis® LCS.
This is AI-enabled precision medicine
This is the future of healthcare.