A new AI tool for radiologists, Revelio

Product Roadmap: The Future of Radiology AI

Discover our upcoming features and innovations designed to transform radiology workflows and patient care.

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Product Development Timeline

Q2 2024 - Released

Organ Volume Calculation

Automated segmentation and volume calculation for organs from CT and MRI scans.

Q4 2024 - Released

Skeletal Muscle Index Calculation

AI-powered muscle segmentation at L3 level to assess sarcopenia and frailty.

Cyst Volume Calculation

Precise measurement of renal, hepatic, and other cysts to guide clinical decisions.

Q2 2025 - In Development

Lung Nodule Detection

Automated detection and characterization of pulmonary nodules with Lung-RADS classification.

Bone Age Assessment

AI-powered bone age estimation from pediatric hand radiographs with detailed growth percentiles.

Advanced Reporting Integration

Seamless integration with major reporting systems and PACS to incorporate measurement data directly into reports.

Q3-Q4 2025 - Planned

Multi-Organ Pathology Detection

Comprehensive screening tool to identify potential abnormalities across multiple organ systems.

Vertebral Fracture Assessment

Automated detection and grading of vertebral fractures with detailed measurements and reporting.

Radiomics Feature Extraction

Advanced tissue characterization through quantitative feature extraction to support precision medicine.

2026 - Future Vision

AI-Assisted Prognosis

Decision support system providing differential prognosis based on imaging findings and clinical context.

Multi-Modal Integration

Synthesized analysis combining imaging with clinical data, lab results, and genetic information.

Treatment Response Prediction

AI models to predict likely response to specific treatments based on imaging biomarkers.

Request a Feature / Contact Us

Have a specific use case or need? Let us know what radiology AI tools would help your clinical practice, or schedule a meeting with our team.

Revelio Early Access Program

Join our early access program to try upcoming features before they're widely released and help shape the future of radiological AI.

Apply for Early Access