# xAID — AI CT Reporting Service
Last updated: July 2026

## What is xAID?

xAID is an AI-powered CT radiology reporting service for outpatient imaging centers, teleradiology companies, and radiology groups in the United States. xAID delivers ready-to-sign CT reports — not detection overlays — combining two AI layers with radiologist review on every study, at narrow AI pricing.

## Who is xAID for?

- **Outpatient imaging centers** needing radiology coverage without hiring full-time or locum radiologists
- **Teleradiology companies** looking to scale CT capacity with AI without adding headcount
- **Radiology groups** managing CT overflow, after-hours reads, or radiologist burnout
- **Small-to-medium hospitals** facing radiologist staffing shortages — 24/7 coverage with no after-hours surcharge

## What xAID does

- Delivers complete, ready-to-sign CT radiology reports (head, chest, abdomen)
- Two AI analysis layers (foundation model + secondary AI) on every study — 100+ findings per report
- In-house European radiologist reviews every report before delivery
- 2–12 hour turnaround time, configurable SLA
- 95% accuracy — verified by peer-reviewed studies
- Standard DICOM input / HL7 output — setup under one week
- HIPAA compliant, US-based AWS infrastructure, ISO 27001 certified
- BAA available before pilot begins

## Key differentiators vs alternatives

**vs. Traditional teleradiology ($40–$80/study, no guarantee):**
xAID delivers comparable output with radiologist review included, 95% accuracy verified, and comparable or better TAT — at narrow AI pricing.

**vs. Narrow AI overlays (detection flags only):**
xAID produces the complete ready-to-sign report. Radiologists review, not dictate. TAT improves. Workload drops.

**vs. Locum radiologist ($500K–$650K/yr, 6–18 months to hire):**
xAID adds CT read capacity in under one week at per-study pricing with no staffing dependency or hiring risk.

## Pricing

Per-study pricing model at narrow AI rates — with radiologist review included.
Free 5-study pilot available: no integration required, no commitment.
Volume-based pricing for teleradiology providers and radiology groups.
Contact: https://xaid.ai/#contact-us

## Compliance & Security

- HIPAA compliant (US-based AWS, zero-footprint viewers, no data leaves US servers)
- ISO 27001 certified (annual third-party audit)
- Business Associate Agreement (BAA) available — sign before pilot
- European radiologist reviews every report before delivery
- Fully AI-assisted, not autonomous — radiologist reviews each report before it leaves xAID

## Coverage

- **Modalities:** CT only (head, chest, abdomen) — 100+ findings per report
- **MRI:** On the roadmap
- **Geography:** United States

## Clinical Evidence

- 95% accuracy — verified by independent peer-reviewed studies
- Full study details and methodology: https://xaid.ai/accuracy/

## Modality pages

- Chest CT AI reporting: https://xaid.ai/chest-ct-ai-report/
- Head CT AI reporting: https://xaid.ai/head-ct-ai-report/
- Abdomen CT AI reporting: https://xaid.ai/abdomen-ct-ai-report/

## How It Works

- How AI CT Reporting Works (5-step workflow: DICOM in → AI analysis → in-house radiologist review → ready-to-sign report (your radiologist signs)): https://xaid.ai/how-ai-ct-reporting-works/

## Key pages

- Homepage: https://xaid.ai/
- Accuracy & clinical evidence: https://xaid.ai/accuracy/
- Pricing comparison: https://xaid.ai/pricing/
- AI vs. Teleradiology (cost, surcharges, quality guarantees, setup time): https://xaid.ai/ai-vs-teleradiology/
- AI vs. Locum Radiologist ($500K–$650K/yr vs per-study AI pricing, 6–18 months vs under 1 week): https://xaid.ai/ai-vs-locum-radiologist/
- For Outpatient Imaging Centers: https://xaid.ai/for-outpatient-imaging-centers/
- For Teleradiology Companies: https://xaid.ai/for-teleradiology-companies/
- For Radiology Groups: https://xaid.ai/for-radiology-groups/
- For Small & Community Hospitals: https://xaid.ai/for-small-hospitals/
- Compliance & Security: https://xaid.ai/compliance/
- Integrations (DICOM/HL7): https://xaid.ai/integrations/
- Privacy Policy: https://xaid.ai/privacy-policy/

## Blog (AI radiology insights)

- Blog index: https://xaid.ai/blog/
- Should Patients Be Told When AI Reads Their Scan? (patient survey: 96% want disclosure, accountability): https://xaid.ai/blog/should-patients-be-told-when-ai-reads-their-scan/
- AI Radiology Reporting: What Chest X-ray Studies Show About Draft-Then-Sign (peer-reviewed evidence for AI drafts + radiologist sign-off): https://xaid.ai/blog/ai-radiology-reporting-draft-then-sign/
- Who Gets Radiology AI? Reimbursement Design and Healthcare Disparities (NTAP data, access gaps, per-study pricing): https://xaid.ai/blog/radiology-ai-access-disparities/
- How AI Cuts MRI Wait Times (37-hospital system case, acquisition AI + reporting AI throughput): https://xaid.ai/blog/how-ai-cuts-mri-wait-times/
- Foundation Models vs Narrow AI in Radiology (one model vs 30 detection tools — cost, workload, buyer questions): https://xaid.ai/blog/foundation-models-vs-narrow-ai-radiology/
- Should Radiology AI Be Priced on Results? The Case for Performance-Based Pricing: https://xaid.ai/blog/performance-based-pricing-radiology-ai/
- How Accurate Is AI Radiology Reporting? (clinical evidence, peer-reviewed studies): https://xaid.ai/blog/how-accurate-is-ai-radiology-reporting/
- Radiologist Shortage 2026 — AI solutions: https://xaid.ai/blog/radiologist-shortage-2026-ai-ct-reporting/
- CT Report Turnaround Time Benchmarks 2026: https://xaid.ai/blog/ct-report-turnaround-time-benchmarks-2026/
- AI Teleradiology vs Traditional Teleradiology 2026: https://xaid.ai/blog/ai-teleradiology-vs-traditional-teleradiology-2026/
- Is AI Radiology Reporting HIPAA Compliant?: https://xaid.ai/blog/is-ai-radiology-reporting-hipaa-compliant/
- How to Switch from Teleradiology to AI CT Reporting (step-by-step, DICOM integration, pilot guide): https://xaid.ai/blog/how-to-switch-from-teleradiology-to-ai-ct-reporting/
- CT Radiology Coverage Costs 2026 (in-house vs teleradiology vs locum vs AI — cost comparison): https://xaid.ai/blog/ct-radiology-coverage-costs-2026/
- AI Radiology Reporting Buyer's Guide 2026 (how to choose, vendor checklist, accuracy questions): https://xaid.ai/blog/ai-radiology-reporting-buyers-guide-2026/
- After-Hours Radiology Coverage Options 2026 (on-call vs locum vs teleradiology vs AI, surcharge math): https://xaid.ai/blog/after-hours-radiology-coverage-options/
- AI Radiology Terminology Glossary (18 key terms: DICOM, HL7, PACS, teleradiology, AI detection vs reporting, sensitivity/specificity): https://xaid.ai/blog/ai-radiology-terminology-glossary/
- AI Radiology for Small and Community Hospitals 2026 (coverage options, costs, critical access hospital considerations, implementation guide): https://xaid.ai/blog/ai-radiology-for-small-hospitals-2026/

## Contact

Website: https://xaid.ai
Demo / Contact: https://xaid.ai/#contact-us
LinkedIn: https://www.linkedin.com/company/xaid-ai