Review images with computer vision
Computer vision pre-analyzes images, identifies potential abnormalities, and presents findings for physician review before report drafting.
Flagship product
RadCoPilot™The physician’s AI agent
Our flagship product is in use to support image review, diagnostic context, report population, and quality assurance. Physicians review suggestions, control interpretation, and approve every final report.
Reading workflow
Support at each reporting decision
Start with a preselected best-match template
Search the report archive and literature to support the best-fit diagnosis. Rank report templates using the computer vision pre-analysis and preselect the best match.
Example · CV-ranked templates
US for DVT, Lower Extremity Veins
- US for DVT, Lower Extremity VeinsBest match · Preselected
- US Duplex Lower Extremity Arteries
- US for DVT, Upper Extremity Veins
Prepopulate reports from images and text
Match computer vision image results with text information extracted using OCR to prepopulate the diagnostic report for physician review.
Check accuracy before sign-off
Based on the diagnosis and literature search, RadCoPilot suggests the best-fit description in the diagnostic report and alerts physicians to ambiguous findings or potential errors before final approval.
Beyond the report
Timely review. Evidence for the next step.
Intelligent workflow optimization
Prioritize urgent cases against turnaround requirements
RadCoPilot prioritizes urgent cases for review and reporting based on clinical urgency and each report’s required turnaround time.
AI literature search
Consider further treatment plans or tests
Search relevant literature to suggest further treatment plans or additional testing for the physician to review alongside the diagnosis.
Physician-specific settings
Your diagnostic tools should fit your reporting style
Configure templates, content preferences, and reporting settings around each physician. RadCoPilot works with established reading habits instead of forcing every reader into the same report structure.
- Preferred report templates
- Custom diagnostic settings
- Reporting language preferences
- Reader-specific workflow options
Reader preferencesExample profile
Default templateCT chest · structured
Finding orderRisk weighted
Prior comparisonSearch archive
ProofreadingBefore approval
Report reviewTwo suggested checks
TerminologyReview the wording against the selected finding.
Measurement consistencyConfirm the value matches the findings section.
Before sign-off
A second pass built for diagnostic reports
Based on the diagnosis and literature search, RadCoPilot suggests the best-fit description in the diagnostic report. It alerts physicians to ambiguous findings, inconsistent measurements, or potential errors before sign-off.
Clinical control: the physician reviews the study, accepts or rejects suggestions, and approves the final report.
Common questions
RadCoPilot
How does RadCoPilot support diagnostic reporting?
RadCoPilot pre-analyzes images with computer vision, searches report archives and literature to preselect best-match templates, combines image results with OCR-extracted text to prepopulate reports, and proofreads drafts before physician approval.
Can RadCoPilot adapt to an individual physician?
Yes. Physicians can customize diagnostic tools and settings around their reporting style and preferred report templates.
Does RadCoPilot replace the physician?
No. RadCoPilot supports the reading and reporting workflow. The physician reviews the study, interprets the findings, and approves the final report.
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Send an inquiry
Learn how RadCoPilot™ can support your physicians. Tell us about your workflow to request product details or a walkthrough.
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