How much do Imaging & Diagnostics AI AI tools cost?
Imaging & Diagnostics AI AI tools typically range from $3 - $25/study depending on practice size, features, and deployment model. Compare pricing across leading vendors in our comprehensive guide.
Related healthcare AI tools and resources.
Imaging & Diagnostics AI AI tools typically range from $3 - $25/study depending on practice size, features, and deployment model. Compare pricing across leading vendors in our comprehensive guide.
AI-powered imaging analysis that assists radiologists in detecting abnormalities, triaging urgent cases, and improving diagnostic accuracy across modalities.
Per-study / per-scan — the dominant model in imaging & diagnostics ai.
$3 - $10/study (volume tiers)
| Vendor | Starting Price | Pricing Model | Free Trial | Notes |
|---|---|---|---|---|
| Aidoc | $8/study | Per-study | -- | FDA-cleared triage AI. Volume-based pricing. |
| Viz.ai | $10/study | Per-study | -- | Stroke and PE detection. Enterprise licensing available. |
| Rad AI | $5/study | Per-study | -- | Automated radiology reporting and impressions. |
| Lunit | $7/study | Per-study | -- | Chest X-ray and mammography AI. FDA-cleared. |
Pricing data last verified February 2026. Contact vendors for the latest pricing and promotions.
Budget 20-40% above the subscription price for total cost of ownership in year one. Common hidden costs include:
Imaging & Diagnostics AI typically costs $3 - $25/study. The average price is $5-15/study. Enterprise pricing ranges from $3 - $10/study (volume tiers). Pricing varies based on Volume of studies per month, Modalities covered (CT, MRI, X-ray), Number of AI models deployed.
The most common pricing model for imaging & diagnostics ai is per-study / per-scan. There are currently no free tier options in this category. Enterprise volume discounts are standard.
Beyond the subscription price, common hidden costs include: PACS/RIS integration engineering fees; Radiologist workflow redesign and training; Ongoing validation and quality assurance; Cloud compute costs for real-time inference. Budget 20-40% above the sticker price for total cost of ownership in year one.
Key ROI metrics for imaging & diagnostics ai include: Read time reduction: 20-30%; Critical finding detection: 15-25% improvement; Turnaround time improvement: 40-60%; Annual radiologist time saved: 300+ hours. Most organizations see positive ROI within 6-12 months of deployment.
Our experts can provide a personalized recommendation based on your practice size, EMR, and budget.