AVIEW
Overview
Coreline Soft’s AVIEW is a comprehensive medical artificial intelligence (AI) platform specializing in CT image analysis. It offers a suite of solutions designed to assist healthcare professionals in the early detection, diagnosis, and monitoring of high-fatality illnesses such as lung cancer, Chronic Obstructive Pulmonary Disease (COPD), and coronary artery calcification. The platform leverages advanced deep learning technology to provide precise, automated assessments of lung nodules, coronary arteries, and interstitial lung disease (ILD) patterns. AVIEW streamlines radiology workflows by automating tedious tasks, enhancing diagnostic accuracy, and reducing interpretation time. Its product portfolio includes AVIEW LCS (Lung Cancer Screening), AVIEW COPD, AVIEW CAC (Coronary Artery Calcification), AVIEW LCS Plus (combining all three), AVIEW Lung Texture (for ILD), and AVIEW NeuroCAD for brain scans. The system generates comprehensive reports, offers 3D visualizations, and integrates seamlessly with existing clinical information systems (CIS), picture archiving and communication systems (PACS), and radiology information systems (RIS). AVIEW is utilized in various global research projects and has been adopted as a standard AI platform for national lung cancer screening programs in multiple countries.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- AI-powered lung nodule detection and characterization (size, volume, type, location, Lung-RADS score)
- Emphysema quantification and low attenuation area (LAA) analysis
- Coronary artery calcium (CAC) scoring (Agatston, volume, mass score, risk stratification)
- Automated segmentation of lung lobes, airways, vessels, and coronary arteries
- 3D visualizations and comprehensive PDF reports
- Workflow automation and integration with PACS/RIS/CIS
- Follow-up registration and nodule matching for serial CT scans
- Interstitial Lung Disease (ILD) pattern analysis (AVIEW Lung Texture)
- AI-based fully automated contouring (AVIEW RT ACS)
- Multi-disease screening from a single low-dose CT scan (AVIEW LCS Plus)
Use Cases
- Lung cancer screening programs
- Diagnosis and follow-up of Chronic Obstructive Pulmonary Disease (COPD)
- Coronary artery disease risk assessment and management
- Thoracic disease diagnosis and monitoring
- Radiology workflow optimization and efficiency improvement
- Research and data labeling for AI learning
What Physicians Need to Know
Physicians can leverage AVIEW CAC to efficiently quantify coronary artery calcification from both dedicated cardiac CTs and incidental findings on non-gated chest CTs, aiding in early cardiovascular risk stratification and management. The automated segmentation and scoring reduce manual effort and inter-reader variability, providing consistent data for clinical decision-making. Integrating this tool can streamline workflow, particularly in lung cancer screening programs where CAC scoring can be performed concurrently. The output, including Agatston scores and risk analysis, can be easily integrated into patient reports for clear communication and follow-up planning.
AVIEW solutions are designed for integration into standard reading environments such as PACS (Picture Archiving and Communication Systems) and RIS (Radiological Information Systems). They can be deployed as server-based, stand-alone third-party applications, or web-based solutions, with options for cloud-based, hybrid, or local installations (dedicated hardware or virtualized environments like Docker). The platform supports DICOM input and outputs results in formats like Encapsulated DICOM, PDF, and Secondary Capture, ensuring compatibility with existing hospital infrastructure. AVIEW 2.0 is being validated against standards such as IHE and FHIR for integrated workflow.
Details
| Category | Cardiology AI, Oncology AI, Radiology & Imaging AI |
| Pricing | Subscription; one-off payment — Pricing model: One-off payment, Subscription. Based on: Number of installations, Number of users. |
| Deployment | Cloud-based; Hybrid solution; Locally on dedicated hardware; Locally virtualized (virtual machine, Docker) |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
1 AI-estimated AVIEW Lung Nodule CAD received 510(k) clearance renewal from the US FDA, meeting strengthened cybersecurity criteria. AVIEW CAC, AVIEW Modeler, AVIEW LCS, and AVIEW LCS Plus also hold FDA 510(k) clearances. |
| Integrations | |
| EHR | Not specified |
| Specialties | Cardiology, Pulmonology, Radiology |
What the Web Says
AVIEW by Coreline Soft is an AI-powered medical imaging platform specializing in comprehensive CT imaging analysis, particularly for thoracic conditions like lung cancer, COPD, and coronary artery calcification. It aims to automate and improve efficiency in radiology workflows, with a focus on early disease detection and streamlined diagnostic processes. The platform has received multiple FDA clearances and is utilized in various global research projects and national lung cancer screening programs.
Overall: PositiveStrengths
- High-definition image quality with beneficial zoom function.
- Detailed and elaborate, allowing multiple users simultaneously.
- Helps access radiology images and download reports in real-time.
- Superior clinical performance with increased lung nodule detection sensitivity, decreased false positives, and reduced reading time.
- Consolidates multi-disease CT assessment into one streamlined, automated workflow, leading to faster case throughput and reduced interpretation time.
- Proven stability and applicability in real-world clinical settings across 19 countries, processing over 2.5 million cases.
Limitations
- Frequent crashing of the software.
- Inefficient integration of text reports with images.
- Requires installation of additional software to view images.
- Potential for a slightly higher false positive rate in some screening scenarios compared to radiologists.
- Concerns about data bias and lack of transparency in AI algorithms.
- Ethical, social, and existential concerns about the rise of powerful AI in medicine, including patient confidentiality and potential for misuse of confidential data.
Based on reviews from: G2, Coreline Soft, Indian Journal of Ophthalmology - Ovid, PR Newswire, KBR, AuntMinnie
Last updated: 2026-07-21
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Press & Coverage
Videos
Product demos, reviews, and walkthroughs for AVIEW.
Coreline Soft's LCS: Global AI for Lung Cancer Screening
![[ENG] AVIEW CAC Introduction](https://img.youtube.com/vi/2KnKrckALhQ/mqdefault.jpg)
![[GER] AVIEW Lung Texture Introduction](https://img.youtube.com/vi/ZfR-IEGqRfE/mqdefault.jpg)
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