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NeuroImager

NeuroImager

NeiroImager (NI) is a AI Clinical Decision Support System (CDSS) for the detection and recognition of cardiovascular diseases and other anomalies using digital images. Designed to detect pathologies and alert the doctor in case exceeding the predetermined critical values of the system. Among the functionality of the system: - Localization of pathology and calculation of the percentage of affected tissues - Classification of pathological changes in accordance with medical standards - Ability to synchronize the processed results with the original ones for greater clarity and convenience in the analysis by specialists - Integration with common medical services including URIS Diagnostic indicators of CV-model: - Sensitivity - 0.9945 - Specificity - 0.9945 - Area under the ROC-curve (AUC) - 0.96 As a result of the introduction of this system into the circuit of healthcare organizations, one should expect: - Reducing the number of medical errors - Reducing the cost of medical personnel - Speeding up the diagnostic Website http://ipavlov.ai/healthcare/ru/tpost/25yho5ilt1-cdss-neuro-imager.

Technical Architecture

Technology

Tech Platform

Software Requirements Specifications Overview

System of support for making medical decisions to detect cardiovascular diseases and other anomalies using digital images.


Designed to detect pathologies and alert the doctor in case of exceeding the predetermined critical values of the system.

Digital Transformation Domain

Project Type

Service Model

Business and Economic Impact

Industry

Project Status

Successfully Deployed in Industry

Unit Cost

$50,000

Economic Impact

Increased Detection of Respiratory Diseases: Leveraging advanced AI-powered health monitoring and real-time analytics, our solution significantly enhances the identification of patients with respiratory illnesses. By integrating smart vision modules and predictive analytics, the system ensures early diagnosis and targeted treatment, reducing healthcare costs and improving public health outcomes. This data-driven approach supports proactive intervention, driving economic efficiency and maximizing the impact of digital transformation in healthcare.

Social & Environmental Impact

Digital Transformation Domain

AI-Driven Social & Environmental Impact: Advancing Quality of Life and Service Excellence

Harnessing cutting-edge artificial intelligence and predictive analytics, our solution empowers communities to extend life expectancy and improve overall population health. By leveraging smart health monitoring and real-time data insights, the platform increases the detection rate of various diseases, enabling early intervention and targeted treatment. This proactive, data-driven approach not only enhances the quality and accessibility of medical services but also raises the standard of customer care through automated decision-making and intelligent workflow optimization.

Pricing Model

Out-licensing & Milestone Payments

Standalone AI Software Product

MARKET CAPABILITY & CONSUMER GROUPS

INVESTMENT RETURN & SUSTAINABILITY 

TARGET MARKET SEGMENTS

Individuals, Corporations/Legal Entities and Government Agencies/State Executive Authorities

KEY CLIENT & CUSTOMERS

PROJECTED SALES METRICS

Свердловская область Департамент здравоохранения г. Москва: Центр диагностики и телемедицины ФГБУ «НМИЦ им. В. А. Алмазова» Минздрава России Главный военный клинический госпиталь имени академика Н. Н. Бурденко

Estimated Contract Value / Project Revenue: From 150 million RUB to 200 million RUB. The exact contract value will be finalized following the review and approval of the technical specifications (Statement of Work).

PRODUCT SUPPORT COSTS

  • Initial Deployment & Support Cost: From 3 million RUB.

  • Average Annual Total Cost of Ownership (TCO): From 1 million RUB.

  • Final Pricing Specification: The exact costs will be finalized following the review and approval of the technical specifications (Statement of Work).

INVESTMENT RETURN

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