Vendor source
Reviewed 25 Sept 2026
Completeness Comprehensive (81%)
The LCS+ software from Coreline Soft provides information on the 3 main lung diseases: lung cancer, COPD and coronary artery calcification based on a Low Dose, non-enhanced, non-gated CT-scan
Supported by 15 papers





General Information
Product name
Company
Modality
Main task
Not specified
Subspeciality
Disease targeted
Regulatory Information
Pathway:
MDR
Class:
Class IIb
Verified by Health AI Register
Verified by Health AI Register
Other certifications
Not specified
Evidence & Research
Peer-Reviewed Papers
Automated artificial intelligence performance for longitudinal pulmonary nodule matching in lung cancer screening
European Radiology · Aug 2026
Impact of CT slice thickness reduction algorithm on AI-based lung nodule detection in chest CTs of colorectal cancer patients
Quantitative Imaging in Medicine and Surgery · Aug 2026
Commercial AI for CT lung cancer screening: product capabilities, coverage of nodule management tasks and supporting evidence
European Radiology · May 2026
Negligible impact of perifissural nodules in an AI-first reader workflow from UK lung screening trial
European Radiology · Mar 2026
AI performance for nodule volume doubling time in the follow-up of the UKLS lung cancer screening study compared to expert consensus and histological validation
European Journal of Cancer · Nov 2025
Potential for AI as first reader in lung cancer screening
European Journal of Radiology · Nov 2025
Artificial intelligence as an independent reader of risk-dominant lung nodules: influence of CT reconstruction parameters
European Radiology · Aug 2025
Comparison of nodule volumetric classification by using two different nodule segmentation algorithms in an LDCT lung cancer baseline screening dataset
European Journal of Radiology · Jul 2025
Histological proven AI performance in the UKLS CT lung cancer screening study: Potential for workload reduction
European Journal of Cancer · Feb 2025
Feasibility of AI as first reader in the 4-IN-THE-LUNG-RUN lung cancer screening trial: impact on negative-misclassifications and clinical referral rate
European Journal of Cancer · Dec 2024
Artificial intelligence system for identification of overlooked lung metastasis in abdominopelvic computed tomography scans of patients with malignancy
Diagnostic and Interventional Radiology · Sep 2024
Absolute ground truth-based validation of computer-aided nodule detection and volumetry in low-dose CT imaging
Physica Medica · Apr 2024
Outstanding negative prediction performance of solid pulmonary nodule volume AI for ultra-LDCT baseline lung cancer screening risk stratification
Lung Cancer · Jan 2022
Variability in interpretation of low-dose chest CT using computerized assessment in a nationwide lung cancer screening program: comparison of prospective reading at individual institutions and retrospective central reading
European Radiology · Oct 2020
Implementation of the cloud-based computerized interpretation system in a nationwide lung cancer screening with low-dose CT: comparison with the conventional reading system
European Radiology · Aug 2020
Technical Specifications
Patient population age
Not specified
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Output
Output format
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Deployment
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Market Presence
Pricing Information
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Based on
Source: Vendor | First published: May 2, 2024 | Last updated: Sep 25, 2026