Fibresolve
Overview
Fibresolve by Imvaria is an AI-based software designed to provide non-invasive diagnostic assistance for various types of lung fibrosis, with a particular focus on Idiopathic Pulmonary Fibrosis (IPF) and Interstitial Lung Disease (ILD). It analyzes imaging data collected during standard, non-invasive chest CT scans, serving as an adjunct to clinical diagnosis. The algorithm, a digital biomarker, has been trained on thousands of patient cases, including tissue pathology and lung fibrosis follow-up, to recognize subtle imaging patterns associated with different lung fibrosis subtypes. This technology aims to empower clinicians with earlier and more accurate insights into complex lung conditions, potentially facilitating proper treatments at an earlier stage and reducing the need for invasive procedures like lung biopsies. Fibresolve operates as a cloud-based system, designed for integration-free use within existing clinical workflows, generating streamlined reports for pulmonologists.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- AI-based software for diagnosis of lung fibrosis
- Non-invasive analysis using standard chest CT scans
- Serves as an adjunct to clinical diagnosis
- Aids in differentiating IPF from other ILDs
- Generates streamlined Fibresolve reports
- Integration-free workflow for clinical practices
- Assigned CPT billing codes by the American Medical Association (AMA)
- Trained on thousands of cases with tissue pathology and lung fibrosis follow-up
- Potential to reduce the need for invasive lung biopsies
- Cloud-based system for data analysis
Use Cases
- Diagnosis of Idiopathic Pulmonary Fibrosis (IPF)
- Diagnosis of Interstitial Lung Disease (ILD)
- Pre-invasive assessment of lung fibrosis
- Augmenting clinical experts in complex ILD and IPF cases
- Reducing diagnostic delays in lung fibrosis
- Guiding appropriate treatments at earlier stages of lung disease
What Physicians Need to Know
Fibresolve serves as an FDA-authorized AI adjunct to clinical diagnosis, particularly valuable for differentiating IPF from other ILDs in challenging cases and pre-invasive settings. Integrate its non-invasive CT-based report with comprehensive patient history, symptoms, other diagnostic tests, and multidisciplinary discussions. Remember it's a tool to augment, not replace, expert clinical judgment.
Fibresolve is designed for minimal workflow disruption, operating largely 'integration-free' as Imvaria handles the AI analysis of submitted CT scans. However, for seamless data flow, it can be integrated into DICOM-compliant hospital or clinic systems. Ensure robust IT infrastructure for secure, encrypted data transmission and obtain necessary patient consents for off-site image analysis.
Details
| Category | Clinical Decision Support & Reference, Radiology & Imaging AI |
| Pricing | Unknown |
| Deployment | Cloud-based digital lab; no integration, no software, no EMR/PACS integration required. |
| Compliance | |
| BAA Available | Unknown |
| HIPAA Compliant | Unknown |
| FDA Status | Cleared AI-estimated |
| Integrations | |
| EHR | Not specified |
| Specialties | Pulmonology, Radiology |
What the Web Says
Fibresolve, developed by IMVARIA, is an FDA-authorized artificial intelligence software designed to assist in the non-invasive diagnosis of Idiopathic Pulmonary Fibrosis (IPF) using CT images. It aims to address the challenges and delays often associated with IPF diagnosis, particularly the limited access to expert multidisciplinary committee review. Studies have shown that Fibresolve can improve diagnostic confidence and potentially reduce the need for more invasive testing.
Overall: PositiveStrengths
- FDA-authorized and Breakthrough Designated AI diagnostic tool.
- Aids in earlier and more accurate diagnosis of Idiopathic Pulmonary Fibrosis (IPF).
- Non-invasive, utilizing existing CT scan data.
- Can reduce the need for invasive confirmatory tests like surgical biopsies.
- Offers a distinct, objective input to complement expert clinical review.
- CPT billing codes have been adopted, making it more practical and accessible for clinicians.
Limitations
- Sensitivity for IPF diagnosis was 56% in one study, suggesting it may miss some cases.
- Specificity for IPF diagnosis was 86% in one study.
- Limited independent reviews from platforms like G2 or Capterra.
- Some physicians may still prefer multidisciplinary discussion for definitive diagnosis.
- Relatively new technology, so long-term impact and widespread adoption are still being evaluated.
- Requires interpretation by qualified clinicians and is not a standalone diagnostic.
Based on reviews from: Oxford Academic, MDedge, EMJ, PMC, IMVARIA (imvaria.com), Radiology Business, Jefferson Digital Commons, Pulmonary Fibrosis News Forums, MedPath Trial, G2
Last updated: 2026-10-21
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