Comparison2026 · Voxel
Laudos.AI vs Voxel — natural speech vs checkbox + macros (2026)
Voxel builds reports via checkbox, macros and a central editor with autocomplete and chat. Laudos.AI starts from natural speech to deliver a reviewable structured report. This comparison separates style-of-use from real operational difference, backed by median TAT 52s measured over 97 finalized reports.
TL;DR
Voxel is a strong choice for radiologists who prefer assembling reports by finding selection, macros and autocomplete — especially price-sensitive residents. Laudos.AI is speech-to-REPORT: the radiologist speaks naturally and AI delivers the structured report without dictated punctuation or checkbox navigation. For operations with volume, contract-defined critical findings, and institutional integration, natural voice removes entire steps that macros don't.
Who should stay on Voxel
Teams that: (a) enjoy assembling reports via checkbox + macros and have a calibrated flow; (b) are individual radiologists or residents heavily price-sensitive (Voxel resident BRL 34.90/mo annual); (c) prefer central editor with autocomplete over voice-driven flow; (d) operate low volume where checkbox friction isn't a shift bottleneck. Honest take: for some individual profiles, Voxel's price is hard to beat on isolated features.
Who should evaluate Laudos.AI
Teams that: (a) prefer dictating findings in natural language over navigating checkboxes and macros; (b) operate high volume where sub-1min median equals hours per shift; (c) need institutional governance — audit, access segregation, CFM 2.314/2022, documented LGPD; (d) need contract-traceable CRIT flow; (e) operate multi-site or multi-client where personal macros don't scale — governed templates are a requirement; (f) need serious PACS/RIS integration (HL7 v2 ORM/ORU, FHIR, DICOM-SR), not just an isolated editor; (g) want BR-native radiology AI that understands ACR/CBR terminology and classifications in the flow.
Auditable comparison
Laudos.AI vs Voxel — criterion by criterion
| Criterion | Laudos.AI | Voxel |
|---|---|---|
| Usage model | Speech-to-report: natural speech → structured report | Checkbox + macros + central editor with autocompletesource: voxel.report |
| Manual punctuation | No. AI writes punctuation, paragraphs, transitions | N/A (assembly by selection)source: voxel.report |
| Onboarding curve | Immediate — speak as you think | Learn service macros + hotkeyssource: voxel.report |
| Median TAT (telemetry) | 52s (median over 97 finalized reports, 2026-05) | Not publicly published |
| Generative AI for impression | Native, trained on BR radiology terminology | AI + autocomplete + chatsource: voxel.report |
| Structured classifications | BI-RADS, TI-RADS, PI-RADS, Lung-RADS, LI-RADS, RECIST, Fleischner, Bosniak native | Pascal + structured templates; user-configured |
| Trial | 14-day with card · Cancel in 1 click · 30-day refund | 30-day with signupsource: voxel.report |
| Radiologist plan | Pro: BRL 219/mo or BRL 2,190/yr (2 months free) | BRL 79.90/mo annualsource: voxel.report |
| CRIT — critical findings | Native flow with acknowledgement, escalation, contract SLA | Not documented as native workflow |
| LGPD/CFM governance | Designated DPO, audit trail, documented segregation, aligned with CFM 2.314/2022 and 2026 AI guidance | Public policy; operational docs on request |
| PACS/RIS integration | Dedicated engineer per scope; HL7 v2 ORM/ORU, FHIR, DICOM-SR, REST + webhooks | Central editor; integration varies |
| Multi-site / multi-client | Templates per unit, contract, role; institutional dashboard | Individual radiologist focus |
| Assisted migration | Macro/template import + 14-day pilot at no charge | 30-day trial; import not documented |
Real telemetry
Production data, not promise
Numbers below are real Laudos.AI production telemetry as of 2026-05. We report median, not mean. Data reflects full reports (editor open through signature), not isolated checkbox selection time.
Laudos.AI Labs·Production telemetry2026-05-09
Rolling 30-day window · median TAT 52s · 430.2h returned vs manual transcription
Measurement methodology, telemetry pipeline and reporting cadence operated by Laudos.AI Labs.
- Finalized reports
- 3,900
- Median TAT
- 52s
- Mean TAT
- 3.4 min
- Under 1 min
- 54.6%
TAT distribution
- Sub-min (54.6%)
- 1–5 min (24.7%)
- 5+ min (20.6%)
<30s
30–60s
1–2 min
2–5 min
5–15 min
>15 min
Laudos.AI vs traditional transcription (3,900 reports)
Laudos.AI
Manual transcription (estimated)
- Laudos.AI time
- 217.1 h
- Manual estimate
- 651.3 h
- Hours saved
- 430.2 h
- Median speedup
- 3.0×
Source · Laudos.AI Labs
- Window: 2026-04-09 → 2026-05-09 (30 days)
- Refresh: monthly · next snapshot at month rollover
- Cohort: finalized reports (status = signed) by radiologists on the Pro plan during the rolling window, excluding internal QA and Laudos.AI staff accounts
- Pipeline: copilot.laudos.ai · production telemetry pipeline
- Exported on: 2026-05-09
TAT = time between editor open and signature, computed per finalized report (status=signed). Manual baseline estimated at 10 min/exam for transcription + structuring, compared against actual editor time. Speedup is the ratio of manual baseline to observed median TAT, conservative.
Audit-grade verification on request: oi@laudos.ai
Voxel → Laudos.AI migration — 14-day checklist
- 01
D1–D3: kickoff. Map modalities, volume, critical Voxel macros/hotkeys, current integrations, signing roles.
- 02
D4–D7: assisted import. Voxel macros, hotkeys and templates are mapped to native Laudos.AI structure (governed templates, not fragile macros).
- 03
D8–D10: pilot with 1 volunteer radiologist on real routine, in parallel. Measures TAT, rework, review friction, satisfaction.
- 04
D11–D13: fine tuning. Vocabulary, shortcuts, CRIT workflow, signature integration, PACS/RIS export.
- 05
D14: go/no-go decision based on TAT, clinical satisfaction, governance and TCO. No billing during pilot.
FAQ
Does Laudos.AI replace Voxel?
Functionally yes — voice, structuring, templates, integration, signature. Operationally depends on radiologist macro/checkbox dependence. The 14-day pilot measures the transition in real production before billing.
Why is natural voice better than checkbox + macros?
Checkbox and macros accelerate typing but require the radiologist to maintain a mental model of the menu. Natural voice lets the radiologist describe findings as they think, and AI structures the report. In real telemetry, 54.6% of reports finish under 1 minute.
Is Voxel cheaper than Laudos.AI?
Public pricing: Voxel BRL 79.90/mo annual; Laudos.AI Pro BRL 219/mo or BRL 2,190/yr (= BRL 182.50/mo equivalent, 2 months free). Scope-proportional difference: Voxel is editor + AI; Laudos.AI includes medical voice, personalized RAG, CRIT, LGPD/CFM governance, and PACS/RIS integration scoped by dedicated engineer.
Can I migrate my Voxel macros?
Yes. Deployment team does assisted import — current macros and templates are mapped to native Laudos.AI structure (governed templates, not fragile per-user macros).
Why does Laudos.AI charge a card during trial?
Quality filter. Cuts no-shows, keeps the test serious, and gives full Pro access from day 1. Cancel in 1 click from the panel if it doesn't convert — or request a full refund within 30 days of any charge.
How does CRIT work in Laudos.AI?
Critical finding has native flow: mark, log, communicate to requester, capture acknowledgement, keep audit trail. SLA, escalation and responsibilities by institutional contract.
What about CFM 2026 AI guidance?
CFM 2026 guidance states AI cannot receive delegated responsibility for communicating diagnosis, prognosis or therapeutic decisions — final responsibility remains with the physician. Laudos.AI was designed as assistive AI: it structures and accelerates, but the radiologist reviews, edits and signs. Identifiable CRM, audit trail, review dates.
Does Laudos.AI integrate with PACS/RIS?
Yes. HL7 v2 (ORM/ORU), FHIR, DICOM-SR, REST API + webhooks. Every integration scoped by dedicated engineer, not self-service.