NeuroImager
AI-Powered Clinical Decision Support System for Advanced Radiology & Diagnostics
NeuroImager is an enterprise-grade Clinical Decision Support System (CDSS) powered by cutting-edge Computer Vision and Natural Language Processing. Designed for seamless integration into hospital workflows, the platform automates the screening, detection, localization, and classification of pathologies across multiple digital imaging modalities, alerting clinicians when critical thresholds are exceeded.
Visual information constitutes over 90% of all medical data. Automating radiological triage and diagnostic screening empowers physicians to eliminate fatigue-induced oversights and focus on critical clinical decisions.
Multi-Modal Clinical Coverage
Pulmonology (CT / LDCT / X-Ray / Fluorography): Automated detection of COVID-19-related viral pneumonia, pulmonary tuberculosis, lung consolidation, and emphysema with quantitative lung parenchyma involvement scoring (CT 0–4).
Technical Architecture
Technology
Tech Platform
Technology Readiness Levels
Software Requirements Specifications Overview
NeuroImager is architected as an end-to-end, high-performance radiological AI pipeline that integrates directly into existing hospital IT ecosystems without requiring modifications to standard diagnostic workflows.
Digital Transformation Domain
Project Type
Service Model
Business and Economic Impact
Industry
Project Status
Successfully Deployed in Industry
Economic Impact
Implementing NeuroImager across municipal, regional, and private hospital networks delivers quantifiable operational savings, increases clinical throughput, and mitigates systemic financial losses caused by delayed or inaccurate diagnoses.
Social & Environmental Impact
NeuroImager transforms modern healthcare delivery by making high-accuracy diagnostic expertise universally accessible, mitigating diagnostic disparities, and fostering sustainable, eco-efficient medical operations.
Digital Transformation Domain
Unit Cost
$50,000
Pricing Model
Out-licensing & Milestone Payments
Standalone AI Software Product
MARKET CAPABILITY & CONSUMER GROUPS
TARGET MARKET SEGMENTS
KEY CLIENT & CUSTOMERS
PROJECTED SALES METRICS
Medical Professionals & Clinical Specialists (Radiologists, Roentgenologists, Pulmonologists, Oncologists, Neurologists, Cardiologists), Private Healthcare Corporations & Hospital Networks, and State Healthcare Authorities & Government Agencies.
Moscow Department of Healthcare (Center for Diagnostics and Telemedicine / DZM); V. A. Almazov National Medical Research Centre; N. N. Burdenko National Medical Research Center of Neurosurgery; Sverdlovsk Regional Healthcare Administration; Regional and Federal Ministries of Health; Commercial Healthcare Networks (Medsi, European Medical Center, Pirogov Clinic); Pharmaceutical and MedTech Partners (Sanofi, Rostec / Shvabe).
Estimated Contract Value / Project Revenue: From 150 million RUB to 200 million RUB per regional or enterprise clinical deployment. The exact contract value is finalized following the review and approval of technical specifications and activated modality packages.
INVESTMENT RETURN & SUSTAINABILITY
PRODUCT SUPPORT COSTS
Initial Deployment & System Integration Cost: From 3,000,000 RUB.
Average Annual Total Cost of Ownership (TCO) & Model Retraining: From 1,000,000 RUB / year.
Final Pricing Specification: Finalized upon approval of regional infrastructure scope and service level agreements (SLA).
INVESTMENT RETURN
Investment in the NeuroImager platform delivers rapid financial payback and sustained long-term capital efficiency across healthcare operators and regional health systems.
Financial & Operational Payback Framework
Careers Anchor
Executive Roles
Project Biography
Origins & Technological Heritage
NeuroImager originated as an advanced medical AI initiative within iPavlov (an innovative AI spin-off from the Moscow Institute of Physics and Technology — MIPT), building upon the internationally recognized DeepPavlov conversational AI framework and the National Technology Initiative (NTI) supported by Sberbank.
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