Synapse Lung Nodule AI
Overview
Synapse Lung Nodule AI is an artificial intelligence-powered software developed by Fujifilm Corporation. It is designed to assist healthcare professionals in the automatic detection of potential pulmonary nodules on CT images of the lungs. The tool aims to support the early detection and timely treatment of lung cancer, which has a high mortality rate. The software also offers technology to analyze pulmonary nodules confirmed by a physician and aid in the preparation of a report on the physician’s findings.
Synapse Lung Nodule AI is part of Fujifilm’s broader REiLI AI platform and Synapse Enterprise Imaging portfolio, which integrates various AI technologies to enhance diagnostic imaging workflows. It can be integrated with Fujifilm’s Synapse Enterprise PACS, allowing for automatic triaging of scans and prioritizing cases with potential abnormalities for further diagnostic assessment.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- Automatic detection of pulmonary nodules on CT images
- Computer-aided diagnosis (CAD) function for lung nodules
- Analysis of physician-confirmed pulmonary nodules
- Supports report preparation for physician findings
- Integration with Synapse Enterprise PACS
- Automatic triaging of scans and case prioritization
- Enhances workflow efficiency
- Aids in early detection of lung cancer
- Part of Fujifilm's REiLI AI platform
- Server-side AI algorithm execution
Use Cases
- Early detection of lung cancer
- Streamlining radiology workflows for lung CTs
- Prioritizing cases with potential lung abnormalities
- Supporting diagnostic assessment of pulmonary nodules
- Reducing radiologist workload in lung nodule detection
Details
| Category | Oncology AI |
| Pricing |
On request
|
| Deployment | Cloud-based (SaaS) on AWS; also adaptable hybrid cloud delivery models available |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
Unknown AI-estimated Synapse Lung Nodule AI received FDA clearance in May 2026 as a computer-aided detection system for lung CT, expanding Fujifilm's AI capabilities for identifying pulmonary nodules in radiology workflows. |
| Integrations | |
| EHR | Not specified |
| Specialties | Oncology, Pulmonology, Radiology |
What the Web Says
Synapse Lung Nodule AI, often associated with Fujifilm's Synapse Vincent system, is an AI-powered tool designed to assist in the detection and characterization of pulmonary nodules from medical images like CT scans and X-rays. It aims to improve diagnostic accuracy, standardize inter-reader agreement, and enhance workflow efficiency in lung cancer screening and management. While some radiologists find it helpful as a double-check system, others express concerns about false positives and the current limitations of AI in complex cases.
Overall: MixedStrengths
- Significantly improves diagnostic sensitivity for pulmonary nodule detection.
- Enhances inter-reader agreement among radiologists.
- Reduces time to diagnosis and image interpretation times, improving workflow efficiency.
- Can detect lung nodules with high accuracy, sometimes surpassing human readers, especially for small nodules.
- Increases radiologist confidence in detecting and reporting lung nodules.
- Potential to reduce negative misclassifications and referral risk associated with missed diagnoses.
Limitations
- Can produce false positives, particularly in complex cases or with pre-existing lung conditions.
- May not consistently follow the same lung nodules on serial scans.
- Some radiologists find it 'meh' or not significantly helpful for clinically significant nodules they would have otherwise missed.
- Integration with existing PACS systems and workflow constraints can limit time savings.
- Moderate specificity limits its use for definitive classification of malignant nodules, suggesting a role more for ruling out malignancy.
- Concerns about the potential for AI to be solely relied upon, leading to missed diagnoses if human review is bypassed.
Based on reviews from: Reddit, AuntMinnie, G2, NCBI, RSNA, Radiology News, EpicShare, Infervision, Diagnostic Imaging, PLOS One, Research journals, PubMed
Last updated: 2026-09-23
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Press & Coverage
Videos
Product demos, reviews, and walkthroughs for Synapse Lung Nodule AI.
Interview with Prof Norihiko Ikeda, M.D. PhD on VATS Pre-surgical Simulation with Synapse3D
FUJIFILM Asia Pacific Medical Systems
