Synapsica provides an AI-driven radiology workflow solution that automates spine reporting by generating high-quality, evidence-based reports with up to 99% accuracy. This technology addresses the challenges of increased reporting errors and workload for radiologists, enabling faster and more reliable patient care through standardized mensuration and predictive analytics.
Funding
$4.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
IFFounders
Product
Problem
Radiologists face increasing workloads and the potential for reporting errors due to the growing demand for medical imaging. This can lead to slower and less reliable patient care.
Solution
Synapsica provides AI-powered radiology workflow solutions that automate spine reporting. Their AI assistants generate preliminary reports with standardized mensuration and characterization of degenerative disc diseases, helping radiologists automate repetitive tasks and generate high-quality, evidence-based reports. The AI algorithms provide assessments with quantitative and qualitative biomarkers and mensuration, helping save time and effort spent reporting various spine cases. This technology enables faster and more reliable patient care through predictive analytics and helps referred doctors and physicians make confident decisions with accurate data and intuitive workflow.
Target Audience
Synapsica's primary customers are radiologists, physicians, and healthcare providers looking to improve the speed, accuracy, and efficiency of spine reporting.
Features
- **Spindle:** AI reporting assistant for MRI Spine that generates preliminary reports with spinal measurements and characterization of degenerative disc diseases.
- Automatically identifies key vertebral points and provides a detailed, standardized mensuration of various spinal elements.
- Identifies variations and pathologies, such as measurement of vertebral and disc heights, identification of listhesis, etc.
- **SpindleX:** AI reporting assistant for stress x-rays of the spine that generates fully automated reports that quantify abnormalities and features of injuries or early degeneration.
- Makes advanced measurements to assess biomarkers of injury, instability, and excessive motion defects.
- Provides information about intersegmental motion in addition to disc injuries illustrated by MRIs.
- **Crescent:** AI reporting assistant for Chest X Rays that segregates normal & abnormal chest X-rays.
- Automatically identifies, localizes, and characterizes common lesions & abnormalities.
- Generates standard, pre-filled reports for normal radiographs and prioritizes critical studies in the worklist.
- **RADIOLens:** AI-enabled PACS solution for smoother radiology workflows that automatically detects bad quality scans and creates preliminary reports for common modalities.
- Platform independent access across all platforms with seamless integrations or cloud support.