
We don’t make radiologists speak like machines.We make machines understand radiologists.
Natural speech in. Structured report out. With clinical memory, critical findings, audit trails, and daily evals.
- Institutional templates
- Radiologist vocabulary
- Validated anatomical context
- Auditable CRIT
- Daily evals
- Findings
- Pulmonary parenchyma without consolidations.
- Nodule
- 5 mm, RUL posterior segment — Lung-RADS 3.
- Pleura
- Small right-sided effusion.
- Impression
- Indeterminate nodule. Follow-up CT in 6 months.
Five layers between a spoken finding and a trusted report.
PACS delivers the image. The EHR receives the signed report. Everything in between — speech, templating, memory, critical findings, evals — runs on Laudos.AI as a single, governed reporting layer.
- 01SpeechNatural dictation · radiologist vocabularylaudos.ai
- 02TemplatingInstitutional structure applied automaticallylaudos.ai
- 03MemoryPer-radiologist phrasing & prior-exam contextlaudos.ai
- 04Critical findingsDetection · escalation · acknowledgementlaudos.ai
- 05Evals & auditDaily rubrics · versioned trail · sign-offlaudos.ai
Five layers between a spoken finding and a trusted report.
Laudos.AI is not transcription. It is the clinical reporting infrastructure that sits between dictation and the final, signed report.
- step 01
Natural speech
Radiologists dictate the way they always have. No commands, no syntax.
input.wav - step 02
Institutional template
The correct study template is selected and applied automatically.
ct-chest.v2.4 - step 03
Clinical memory
Per-radiologist phrasing, abbreviations, and prior-exam context.
user.profile - step 04
Critical findings
CRIT detection escalates and logs an auditable communication trail.
crit.detect() - step 05
Daily evals
Every report is evaluated against clinical rubrics — every day.
eval.daily
Built for clinical control.
Speed alone is a commodity. What separates production-grade reporting from a fancy dictation toy is governance — templates, memory, anatomy, escalation, and continuous evaluation, working together by default.
Institutional templates
Every clinic enforces its own structure: section order, mandatory fields, impression style. Templates are applied automatically, not pasted manually.
Radiologist memory
Each radiologist has personal phrasing, abbreviations, and recurring patterns. Laudos.AI learns and respects them — without leaking across users.
Validated anatomical context
Findings are mapped to anatomy with study-specific validation, so left/right, segment, and laterality stay consistent end-to-end.
Auditable critical findings
CRIT detection flags time-sensitive findings and logs the full escalation trail — who was notified, when, and how.
Daily clinical evals
Reports are scored daily against clinical rubrics. Regressions are caught before they reach a radiologist’s screen.
Compliance & data residency
PHI stays inside your perimeter. Configurable retention, role-based access, and signed audit logs for every report.
When seconds matter, silence is not an option.
CRIT detects time-sensitive findings the moment they appear in dictation, escalates the responsible clinician via push, WhatsApp and email, and stamps an immutable communication trail — ready for review under CFM 2.314 and LGPD.
- Configurable critical-finding library per institution.
- Push, WhatsApp and email escalation with read receipts.
- Acknowledgement workflow with timestamps and identity.
- Immutable, exportable audit logs — JSON and PDF.
- Fallback escalation when first contact does not acknowledge.
Critical finding
Acute pulmonary embolism, right main pulmonary artery.
- Detected
- 08:42:17 BRT
- Reporter
- Dr. EXEMPLO
- Escalated to
- On-call physician · ICU
- Acknowledged
- 08:42:51 BRT
- Channels
- Push · WhatsApp · Email
- Audit hash
- mock — demo data
Demo data shown for illustration · not a real patient case.
Every report, scored. Every day.
We do not ship and pray. A continuous evaluation harness scores generated reports against radiologist-authored rubrics — anatomy, laterality, templates, critical findings — and blocks regressions before they reach the reading room.
- Continuous
Reports are evaluated against clinical rubrics on every model and template change.
- Clinical
Rubrics are written by radiologists — anatomy, laterality, templates, critical findings.
- Pre-production
Regressions are caught and blocked before any change reaches a radiologist’s screen.
- Auditable
Every eval run is versioned and traceable — datasets, prompts, scores, decisions.
- Anatomic correctnessenforced
- Laterality consistencyenforced
- Template adherenceenforced
- Critical-finding recallenforced
- Hallucination guardrailsenforced
- Impression-findings alignmentenforced
Live benchmarks shared under NDA with pilot hospitals.
See it generate a report.In Rio, Jun 8–11.
Laudos.AI is recruiting pilot hospitals. Walk up to our station for a 60-second live demo — natural speech in, structured report out, critical-finding escalation included — or grab time with a radiologist on our team.
Or scan the QR at the booth · hello@laudos.ai
