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Saving lives with data by providing regulatory-grade safety and effectiveness data.

AI-powered clinical decision support for early lung cancer diagnosis and management.

Optellum is a leader in the medical AI space, specifically focusing on early lung cancer diagnosis through its Virtual Nodule Clinic (VNC). The platform's technical architecture is built around the Lung Cancer Prediction (LCP) score, a deep-learning algorithm trained on one of the world's largest datasets of lung nodules with known outcomes. By 2026, Optellum has solidified its market position as the gold standard for clinical decision support in pulmonary departments, effectively bridging the gap between incidental nodule discovery and definitive treatment. The system utilizes advanced computer vision to analyze 3D CT scans, identifying radiological features invisible to the human eye to stratify patient risk. Unlike standard CAD (Computer-Aided Detection) tools, Optellum's LCP score provides a validated probability of malignancy, which is FDA 510(k) cleared. This enables clinicians to avoid unnecessary invasive biopsies for benign nodules while fast-tracking patients with high-risk lesions to life-saving treatment. The platform integrates directly into hospital PACS (Picture Archiving and Communication Systems) and EMR (Electronic Medical Record) workflows, utilizing HL7 and FHIR standards to ensure data portability and real-time clinical utility.
Optellum is a leader in the medical AI space, specifically focusing on early lung cancer diagnosis through its Virtual Nodule Clinic (VNC).
Explore all tools that specialize in detect lung nodules. This domain focus ensures Optellum Virtual Nodule Clinic delivers optimized results for this specific requirement.
Explore all tools that specialize in automated identification. This domain focus ensures Optellum Virtual Nodule Clinic delivers optimized results for this specific requirement.
Deep learning algorithm that analyzes 3D voxel data within CT nodules to predict malignancy probability.
Volumetric analysis of nodules across multiple historical scans to detect subtle growth rates.
Digital implementation of Fleischner and Lung-RADS guidelines mapped to patient-specific data.
A centralized patient management interface that flags high-risk incidental findings.
Support for DICOM-Web, DIMSE, and various vendor-specific integration protocols.
Translates LCP score and volumetric data into structured natural language for radiology reports.
Aggregated analytics on population health outcomes for hospital leadership.
Clinical Site Assessment and Workflow Mapping.
IT Infrastructure Review (Server specs for on-prem or Cloud Gateway).
Secure VPN or Direct Link establishment between Hospital and Optellum Cloud.
PACS Integration - Configuring DICOM auto-routing for thoracic CT scans.
EMR Integration via HL7/FHIR for patient demographic matching.
User Authentication Setup (Single Sign-On / Active Directory).
Clinician Training on LCP Score interpretation and Fleischner Guidelines.
Pilot Phase - Parallel running with manual nodule tracking.
Validation and Performance Benchmarking against site historical data.
Full Enterprise Production Deployment and Go-Live.
All Set
Ready to go
Verified feedback from other users.
"Clinicians praise the platform for significantly reducing diagnostic uncertainty and automating the tedious aspects of nodule tracking, though initial IT setup is noted as complex."
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