contextflow

Categories: Healthcare, Data Analysis | Pricing: Enterprise | Official Website ↗

contextflow provides AI-powered solutions for comprehensive analysis of chest CT scans to detect and quantify lung diseases.

contextflow offers an AI Solution Suite designed to assist radiologists in detecting, quantifying, and managing lung cancer, lung diseases, and incidental pulmonary embolism (iPE) in clinical routines. The suite includes ADVANCE Chest CT for computer-aided detection of suspected lung cancer, ILD, and COPD cases, featuring nodule detection and quantification, nodule tracking, quantitative lung tissue analysis, and qualitative analysis of 19 image patterns with reference cases and differential diagnosis information. Additionally, contextflow integrates RevealAI-Lung for malignancy scoring to aid in earlier lung cancer detection and CINA-iPE from Avicenna to ensure incidental pulmonary embolisms are not overlooked. The company's solutions are rooted in peer-reviewed research, stemming from its origins as a spinoff of the Medical University of Vienna, and aim to integrate directly into existing PACS workflows.

Key Features

Nodule detection and quantification
Nodule tracking over time
Quantitative lung tissue analysis
Qualitative analysis of 19 image patterns
Reference cases and differential diagnosis information
Malignancy scoring (RevealAI-Lung)
Incidental pulmonary embolism detection (CINA-iPE)
Integration with PACS

Pros

Provides comprehensive computer-aided detection for various lung conditions
Offers quantitative and qualitative information directly in the radiologist's viewer
Designed to save time and improve reporting quality
Supports tracking of nodules over time for follow-up scans
Transparent AI solution that supports workflow while leaving final decision to the clinician

Cons

Pricing information is not publicly available
Requires integration into existing hospital IT infrastructure (PACS)
Specific details on deployment and implementation are not readily available
Focuses exclusively on chest CT analysis, not general radiology
Availability of free trial is not stated

Use Cases

Lung cancer screening and detection
Diagnosis and management of interstitial lung disease (ILD)
Assessment of chronic obstructive pulmonary disease (COPD)
Detection of incidental pulmonary embolism (iPE)
Quantitative profiling of patients from chest CTs

Best For

Radiologists
Hospitals and clinics
Medical imaging departments
Pharmaceutical companies (for patient profiling)

Integrations: PACS, Mint Medical, RevealDx, Avicenna, VUNO, Mesalvo

Platforms: Web

Watch demo on YouTube ↗

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