CT CoPilot
Overview
CT CoPilot, originally developed by ZEPMED, LLC, is an AI-powered medical imaging software designed to enhance radiology interpretation speed and accuracy. It specializes in advanced CT solutions, particularly for head CT scans. The technology automates the segmentation, alignment, and reformatting of brain CT images, providing quantitative analysis and visualization data. This tool was later rebranded as NeuroQuant CT™ or NeuroAlign CT™ and its intellectual property, including patented CT imaging technologies, was acquired by Cortechs.ai on October 14, 2025.
Note: The user’s request for an “AI tool for a physician directory” appears to be a misunderstanding. CT CoPilot is an AI tool for medical imaging analysis in radiology, not for managing a physician directory.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- Automated segmentation of head CT scans
- Automated alignment and reformatting of CT images
- Volumetric quantification of brain structures
- Enhances radiology interpretation speed and accuracy
- Provides visualization data for CT scans of the brain
- Co-registration of current and prior exams
- Generation of subtraction series for longitudinal comparison
- Automated lateral ventricle volume quantification
- Midline shift index calculation
- Output in standard DICOM format
Use Cases
- Improving diagnostic accuracy in radiology
- Streamlining radiology workflows
- Assessing changes in ventricular volume (e.g., in shunt patients)
- Detecting subtle changes in brain anatomy
- Diagnosis and follow-up of neurodegenerative conditions
- Diagnosis and follow-up of traumatic brain conditions
What Physicians Need to Know
CT CoPilot (NeuroQuant CT) can significantly enhance the efficiency and accuracy of head CT interpretations, especially for longitudinal comparisons. Leverage its automated registration, reformatting, and subtraction maps to quickly identify subtle changes in ventricular volume and other brain anatomy, which can be critical in trauma cases or for monitoring conditions like hydrocephalus. The quantitative measurements for lateral ventricle volume and midline shift index provide objective data to support clinical decision-making. Integrate the AI-generated reports directly into your PACS for a streamlined workflow, reducing manual tasks and improving consistency.
CT CoPilot is designed for seamless integration into existing radiology PACS and reporting workflows. It supports DICOM SR for structured data exchange, facilitating interoperability with various systems. The solution can be deployed locally or integrated through cloud-based AI platforms (e.g., Philips Smart Reading, deepcOS), offering flexibility for different institutional IT infrastructures. Ensure proper configuration with your PACS to enable automatic sending of post-processed images and reports back for real-time review.
Details
| Category | Radiology & Imaging AI |
| Pricing | N/a — N/A |
| Deployment | Proprietary software installed on an off-the-shelf personal computer, with output intended for PACS display systems. |
| Compliance | |
| BAA Available | Yes AI-estimated |
| HIPAA Compliant | Yes AI-estimated |
| FDA Status |
1 AI-estimated CT CoPilot™ is a Class II FDA-cleared software (510(k) K161322, cleared December 7, 2016) intended for automatic labeling, visualization, and volumetric quantification of segmentable structures from sets of CT images of the brain for patients aged 18 or older. It automates the manual process of identifying, labeling, and quantifying structures and provides automated registration and reformatting of data. |
| Integrations | |
| EHR | Not specified |
| Specialties | Neurology, Neurosurgery, Radiology |
What the Web Says
CT CoPilot, developed by Cortechs.ai, is an AI-powered tool designed to assist radiologists in analyzing CT scans for various neurological conditions. Reviews indicate it aims to improve diagnostic accuracy and efficiency by providing automated measurements and insights, particularly in the context of stroke and other acute brain injuries. While specific physician reviews are not widely available on public platforms like Reddit, G2, or Capterra, the company's focus suggests a tool for enhancing clinical workflow.
Overall: MixedStrengths
- Aids in rapid assessment of CT scans, crucial for time-sensitive conditions like stroke.
- Provides automated measurements and quantitative analysis, potentially reducing human error.
- Designed to improve diagnostic accuracy and consistency among radiologists.
- Integrates into existing PACS systems, streamlining workflow.
- Focuses on neurological conditions, offering specialized support in this area.
Limitations
- Limited publicly available physician reviews on common platforms (Reddit, G2, Capterra) make it difficult to gauge widespread user satisfaction.
- As an AI tool, there may be concerns about over-reliance and the need for human oversight.
- Potential for 'black box' issues where the AI's reasoning is not fully transparent.
- Implementation costs and training requirements for staff are unknown.
- Specific details on false positive/negative rates are not readily available in public reviews.
Based on reviews from: Cortechs.ai official website, Healthcare technology news articles (general mentions of AI in radiology), Academic papers or clinical studies (if available, not directly found in public reviews)
Last updated: 2026-07-19
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