Critical reasoning01
Critical findings are detected automatically.
The AI flags findings that require immediate attention without forcing the radiologist to leave the report flow.
Radiology, reimagined
You dictate. We handle the rest.
Speak the way you think. Laudos.AI organizes findings into a structured report, ready to review and sign.
What AI does
Speak naturally — AI structures the report.
And what comes after
Critical finding.
Follow-up.
Structured data.
Audit trail.
The thesis
laudos.ai is the infrastructure after imaging.
Built by physicians from InRad/HC-FMUSP, InCor, and ICESP.
Category
It's not voice recognition. It's speech-to-report for radiology.
Voice recognition transcribes. Laudos.AI turns natural speech into a structured radiology report, reviewable and ready for signature. The radiologist stays in control: AI organizes findings, technique, impression, follow-up, and consistency without taking the clinical decision.
Natural voice
Speak the way you think — no dictated commas, headers, or formatting.
Radiology structure
AI organizes description, impression, and recommendations within the modality standard.
Physician review
AI suggests; the physician edits, validates, and signs.
Operational integration
PACS, RIS, HIS, HL7, DICOM, and API so reports don't end up in an isolated editor.
Governance
Logs, traceability, templates, critical findings, and routines compatible with clinical operations.
01 — Product
Stop dictating commas, periods, and boilerplate. Select the study, press one button, and speak findings naturally. The AI understands clinical context and builds a structured report ready to review and sign.
A proprietary model trained for radiology keeps terminology consistent across anatomy, applies clinical protocols, and uses only the vocabulary you authorize.
ModalitiesCT · MR · X-ray · US · Doppler · Mammo
IntegrationPACS · RIS · HIS · HL7 · DICOM
Time per report5-6 min saved
PlatformWeb · Tablet · Mobile
60%Reduction in reporting timeAverage 5 to 6 minutes saved per report.
≈ 3hReturned to the on-call physicianFor a radiologist reading 50 studies per day.
100%Aligned with LGPDTLS 1.3, AES-256, RLS, and governed PHI handling.
RSNA reports that radiologists spend a large share of working time on administrative tasks, including report formatting.
— RSNA, Radiology 2020
02 — Pillars
Personalization02
Vocabulary stays under your control.
You define report templates, allowed terminology, and style. The model becomes predictable instead of improvising clinical language.
Multi-study context03
From chest to abdomen in the same session.
The report keeps structure and clinical context even when the reasoning moves across anatomy or modalities.
Zero-Click04
Diagnostic impression updates in real time.
As findings are dictated, the impression is drafted in your style without extra clicks.
What changes
What changes when you leave traditional dictation behind
Standard dictation
Turns voice into text but still needs punctuation, structure, review, and manual copy.
Editor with macros / templates
Speeds up repetition, but depends on clicks, shortcuts, and manual upkeep.
Checklist / checkbox
Works for predictable cases but can break flow on complex CT/MRI reports.
Laudos.AI
Natural speech, radiology structure, physician review, integration, and governance in one flow.
The product
Two screens. One complete routine.
From the dashboard that measures pace to the editor that understands dictation style, Laudos.AI was designed for people who read images all day.
And when it is time to write
The editor reads with you.
Voice, text, shortcuts, and triggers in the same surface. The model structures while you speak and never overwrites what is already signed.
01
Productivity
Track reports by day, week, and month. See your best pace and recovered time.
02
Critical findings
Alerts appear when the model detects something that should be communicated before signing.
03
Transparent usage
Reports, time, and plan usage stay visible. No billing black box.
03 — Example
You describe the finding. The AI returns the structured report.
Dictation · live
"Solid 12 mm nodule in the right lower lobe, spiculated margins, no calcifications. Mediastinum preserved, no pleural effusion."
ModalityCT
RegionChest
ContrastNo
Structured reportPACS-ready
Technique
Volumetric multislice acquisition without intravenous iodinated contrast.
Findings
Mediastinal vascular structures with preserved caliber and course. Trachea and main bronchi with normal caliber.
Solid spiculated nodule in the right lower lobe measuring 1.2 x 0.8 cm, without identifiable calcification or cavitation.
No bilateral pleural effusion. Heart and pericardium with normal appearance.
Impression
Spiculated solid nodule in the right lower lobe, indeterminate by this method. Consider contrast-enhanced CT or PET-CT for further characterization if clinically appropriate.
The AI applies clinical guidance, keeps the exam template, and structures technique, findings, and impression even when the reasoning moves across anatomy.
04 — How it works
One button. Three steps. Consistent report.
- 01
Select and speak
Choose the study and describe findings naturally, without verbalizing punctuation, headers, or boilerplate.
- 02
AI structures
The domain model organizes technique, findings, impression, and guidelines while preserving the right template.
- 03
Review and sign
Receive a nearly complete report, adjust it, sign it, and keep your corrections in the workflow.
Real demo
A complex report, drafted in minutes. And this one is typed.
The video shows Laudos.AI structuring a report from written text. The same workflow also works by voice: radiologists can type, dictate, or move between both without losing context.
Watch the demo
Typed example. Voice dictation is available in the same editor.
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%)
442
<30s
1,689
30–60s
402
1–2 min
563
2–5 min
643
5–15 min
161
>15 min
Laudos.AI vs traditional transcription (3,900 reports)
Laudos.AI
217,1 h
Manual transcription (estimated)
651,3 h
- 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
Validation
Measure in 30 days. Don't buy on promise.
A serious pilot of reporting AI shouldn't only check that voice 'works.' It should measure time per report, corrections, rework, template adherence, impression consistency, return to PACS/RIS, and critical findings traceability.
Metric
Median time per report
Metric
Corrections per report
Metric
Template adherence by modality
Metric
Rework rate
Metric
TAT per queue
Metric
Critical findings communicated and documented
05 — Testimonials
“Laudos.AI helps me move faster through cases I know well and describe unfamiliar findings with more detail. I cannot imagine working without it.”
Dra. Stephanie A.MSK radiologist
“I dictate the report and the AI helps with the description and impression, including evidence-based suggestions. I save at least 5-6 minutes per report.”
Dra. Adriana SalvanyRadiologist
“As an R1, I do not know what my routine would look like without it. I dictate a finding and get a structured description that makes sense.”
PetrusRadiology resident
“My whole team adopted it in less than a week. The learning curve is basically zero: you speak and the report appears.”
Dra. Juliana CamposRadiologist
“I use Laudos.AI for Doppler reports. The precision in structuring findings is what stands out most.”
Dr. Bernardo HimeVascular surgeon
“I never expected to leave a night shift with 42 reports feeling this calm.”
Dra. Beatriz AlmeidaRadiologist
06 — Integrations
Compatible with your workflow.
Native PACS, RIS, HIS, HL7, DICOM, and API integration sends reports directly into clinic or hospital infrastructure without rework or workflow disruption.
PACS
RIS
HIS
HL7
DICOM
API
S.H.I.E.L.D
Real-time intelligent monitoring for critical findings.
Traceability, TAT metrics, and communication SLAs for Enterprise clients. Every critical finding is notified and documented.
AI suggests. The physician decides.
The resolution sets rules for medical AI with a focus on governance, risk classification, human supervision, transparency, and data protection. Laudos.AI was designed to operate inside that standard.
- Traceability for physician-AI interactions
- Human supervision in the clinical workflow
- Risk classification by feature
- Critical-finding SLA defined by contract
Built for LGPD compliance. Ready for legal review.
ProtectionTLS 1.3 · AES-256 · RLS
PHIGoverned PHI handling
PrivacyPrivacy by Design
RiskDPIA package by scope
DPO: natan@laudos.ai
07 — Insights & Analysis
14 days free with card · Cancel in 1 click
Your peers already save 5-6 minutes per report. What about you?
Select the study, press one button, and speak findings naturally. Structured, reviewed, signed reports without dictating punctuation.