Smart Clinic – CDSS 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
Digital Transformation Domain
TR Level
Software Requirements Specifications (SRS) 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.
Project Type
Service Model
Business and Economic Impact
Industry
Project Status
Successfully Deployed in Industry
Unit Cost
$50,000
Pricing Model
Out-licensing & Milestone Payments
Standalone AI Software Product
Social & Environmental Impact
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.
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.