Arterys - Version Lung AI - Assisted Chest CT Analysis Software
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.
Arterys Lung AI is your partner in chest CT analysis. We support the tedious, time consuming portions of your workflow with automation so that you can focus on the parts that matter.
Arterys MICA includes an optional Oncology AI module which provides analytical tools to help the user assess and document changes in morphological activity at diagnostic and therapy follow-up examinations. It is a tool used to support the oncological workflow by helping the user confirm the absence or presence of lesions, including evaluation, quantification, follow-up, and documentation of any such lesions. Arterys MICA software is intended to be used as a support tool by trained healthcare professionals to aid in diagnosis. It is intended to provide image and related information that is interpreted by a trained professional to render findings and/or diagnosis, but it does not directly generate any diagnosis or potential findings.
The nodule detection and segmentation algorithms are optimized for Low Dose CT. However, the algorithms will process any chest CT DICOM including regular dose CT, CAP and PA series without generating an error.
Information on training data
The lung nodule detection model was trained and validated on 2227 lung CT scans representing approximately 10000 nodules of 4 to 30 mm in size. To represent an asymptomatic patient population, a blend of primarily low-dose/non-contrast screening exams and minority standard-dose/contrast incidental findings exams was used.
Model performance metrics
Standalone model performance from 240 case lung assessment validation for findings between 4 to 30mm for a 3/4 Ground Truth expert radiologist consensus level: Sensitivity: **0.93 **_(0.90 - 0.97) _ FP/scan: **1.53 **_(1.24 - 1.84)_