CT-Assist
CT-Assist is medical imaging software designed to help radiologists read and analyze CT scans. It provides AI-powered tools for lesion tracking, image quality checks, and quantitative analytics to improve efficiency and accuracy.
radiology
ct-scans
lesion-tracking
image-analysis
CT-Assist: Medical Imaging Software
Medical imaging software designed to help radiologists read and analyze CT scans with AI-powered tools for lesion tracking, image quality checks, and quantitative analytics to improve efficiency and accuracy.
What is CT-Assist?
CT-Assist is an advanced medical imaging software solution designed specifically for radiologists reading CT scans. It incorporates artificial intelligence algorithms to provide a suite of tools to improve radiologist workflow and enhance patient care.
Key features of CT-Assist include:
- Lesion tracking - Automated identification and comparison of lesions over time to assess treatment response
- Image quality analytics - Automatic checks for protocol compliance, motion artifacts, noise, etc.
- Quantitative metrics - Objective measurements of lesions and anatomy for improved consistency
- Customizable structured reports - Optimized reporting templates by anatomy and pathology
- Cloud-based platform - Secure access to patient images and reports on any device
By automating routine tasks and quantitative analysis, CT-Assist reduces the workload for radiologists allowing them to focus on critical findings. The AI-powered insights also provide standardization and consistency leading to more accurate diagnosis and treatment decisions. It integrates smoothly into existing PACS and RIS systems for simplified workflow. CT-Assist aims to improve radiologist efficiency by over 30% while raising the level of patient care.
CT-Assist Features
Features
- AI-powered lesion tracking and monitoring
- Automated image quality analysis
- Quantitative analytics
- Structured reporting
- Cloud-based platform
Pricing
- Subscription-Based
Pros
Improves radiologist efficiency
Enhances diagnostic accuracy
Integrates seamlessly into workflows
Provides easy access to advanced analytics
Cloud platform enables collaboration
Cons
Requires high-quality training data
AI algorithms still have limitations
Upfront costs for implementation
Ongoing fees for cloud platform
Official Links
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