Rayscape.ai: Transforming Radiology with Advanced AI-Powered Imaging Analysis

Rayscape.ai is a cutting-edge AI platform designed for radiology and oncology professionals, specializing in the automated analysis of chest X-rays (CXR) and lung CT scans. Trusted by over 200 clinics and hospitals across 15 countries, it delivers real-time insights with sub-30-second CXR results and under-1-minute CT scan analysis, significantly reducing turnaround time by 30% while increasing sensitivity by 12%. The platform detects more than 148 pathologies, supports nodule tracking and measurement, and enhances diagnostic accuracy through advanced preprocessing, structured report generation, and case prioritization. With strong regulatory compliance (CE class I, MDR, ISO 13485), GDPR and CCPA adherence, and validation through 10 peer-reviewed studies and clinical trials, Rayscape.ai ensures data privacy and algorithmic reliability. It integrates seamlessly with any DICOM-compliant PACS and offers flexible deployment via on-prem, hybrid, or cloud models, with minimal maintenance and scalable infrastructure.

Key Features:

• Real-Time Analysis: Chest X-ray results in under 30 seconds, CT results in under 1 minute.
• Comprehensive Pathology Detection: Identifies over 148 pathologies in chest X-rays.
• Lung Nodule Tracking: Measures and tracks nodule evolution across scans with precise diameter and volume metrics.
• Structured Report Generation: Automatically generates detailed, standardized radiology reports.
• Case Prioritization: Flags urgent cases to streamline workflow and improve patient care.
• Advanced Preprocessing: Includes bone suppression, image subtraction, and cardiothoracic index calculation for CXR.
• Lung CT Enhancements: Offers exam comparison, Fleischner follow-up recommendations, and nodule attribute analysis.
• AI for Tuberculosis Detection: Validated in The Lancet Digital Health for accurate TB identification on chest radiographs.
• Clinical Workflow Integration: Results are written directly into patient files, improving efficiency and consistency.
• Regulatory Compliance: Fully compliant with GDPR, CCPA, ISO 13485, CE class I, and MDR.
• Data Privacy & Security: Patient data is anonymized upon extraction and never shared with third parties; remains on-site.
• Flexible Deployment: Supports on-prem, hybrid, and cloud setups with scalable infrastructure.
• Easy Integration: VM ready in under one week; works with any DICOM-compliant PACS.
• Minimal Maintenance: Remote updates and configurations reduce need for local IT intervention.
• Research-Backed Algorithms: Validated through 10 peer-reviewed studies, 2 clinical trials, and testing on 15 million images across 5 continents.
• Bias Mitigation: Uses balanced datasets and subgroup validation to reduce algorithmic bias by 10×.
• Web Demo Access: Interactive demo available for users to explore functionality.

Pricing: Rayscape.ai offers a flexible pricing model with a free trial available for interested healthcare providers, allowing them to evaluate the platform’s capabilities before committing. After the trial, pricing is tailored to institutional needs, with options for subscription-based access depending on deployment and scale.

Conclusion: Rayscape.ai stands as a powerful, clinically validated AI solution for radiology and oncology, revolutionizing medical imaging workflows with speed, precision, and compliance. Its ability to detect critical pathologies, support lung cancer follow-up, and integrate smoothly into existing hospital systems makes it an essential tool for modern healthcare institutions aiming to enhance diagnostic accuracy and patient outcomes.