Diamond
Diamond

by Arterys®

AI gets real.
Your AI Assisted Chest CT Analysis Software.

Lung AI helps physicians analyze and track lung nodules by automatically processing Lung CT scans to deliver improved speed, efficiency, and accuracy of diagnostic decisions.

 

Features

Nodule detection*

Longitudinal tracking

Volumetric segmentation

Lung-RADS

Open. Review. Confirm. Report. It's that easy.

Automatic detection* of solid, part solid, and ground glass nodules. Our interactive workflow allows the user to add, edit, or delete detections with automatic updates to quantitative information.

*Detection is for Research use only in US
Lung Nodule

Automatically assess each lesion's evolution over time.

Whether you have one or many studies to compare, Arterys has your back. Automatically track nodules over time with tabular and graphical progression.

Lung Report

Volumetric segmentation of nodules

With the Arterys Lung AI application, precise volumetric segmentation of lung nodules is available automatically for both detected and user found nodules. Deep Learning reduces variability across analyses.

Lung LinkedNodule

Built-in Lung-RADS calculations

Standardize reporting of screening exams using the integrated Lung-RADS workflow. Share and communicate results effectively with patients and among colleagues. Arterys Lung AI supports Lung-RADS versions 1.0 and 1.1, as well as linear and volumetric measurements.

Lung LungRADS

Benefits

Fast Diagnostic and Treatment Decisions

Lung AI helps physicians quickly analyze lung nodules by automatically processing Lung CT scans -- delivering clear, easy-to-interpret customizable reporting that helps physicians reduce missed nodule detections by up to 70%6 7 -- facilitating more consistent and accurate diagnoses.

Consistent Results

 

When applying AI across the Lung CT workflow, Lung AI increases inter-radiologist agreement for the presence or absence of nodules from a low of 67% to 87% per with study1, 3-5 -- facilitating more consistent and accurate diagnoses.

Increase Productivity and Decrease Reporting Time

By incorporating AI across the Lung CT workflow, Lung AI automatically analyzes CT scans, providing physicians with automated measured segmentations, longitudinal tracking, and customizable reporting -- that reduces tedious and operator-dependent manual tasks and produces an average time saving of 44% per study 1, 2.

Optimize Workflow

 

Lung AI does not require on-premises hardware and results are accessible through a diagnostic quality zero footprint viewer and an internet connection. It seamlessly integrates with existing PACS, EHR, worklist, notification, and dictation systems ensuring exams are read accordingly and consistently.

References

  1. National Cancer Institute - NLST database: https://biometry.nci.nih.gov/cdas/nlst/
  2. Centre Hospitalier de Valenciennes, Avenue Désandrouin CS 50479, 59322 Valenciennes, FRANCE
  3. Groupe hospitalier Paris Saint-Joseph, 185, rue Raymond Losserand - 75014 Paris, FRANCE
  4. Fleiss, J. L. (1971) “Measuring nominal scale agreement among many raters.” Psychological Bulletin, Vol. 76, No. 5 pp. 378–382 5. Landis, J.R.; Koch, G.G. (1977). “The measurement of observer agreement for categorical data”. Biometrics. 33 (1): 159–174
  5. Arterys Lung AI Nodule Detection study - University of California, San Diego
  6. US FDA clearance for detection pending

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