90%
Agreement with the physician's report
Hundreds of real reportsLaiBench v3.10
Platform
One layer, one clinical flow
For radiologistsDictation, structuring and review, without switching windows
For clinics and networksLive dashboard: output, TAT and critical findings with SLA
EnterprisePACS/RIS integration, template governance and audit
For institutionsThe answer for leadership, clinical staff, IT and quality.
Laudos.AI AgentNEWThe integration layer: you speak, the report lands in your RIS
Historical production snapshot
Fixed snapshot from April 9 to May 9, 2026 · does not measure total TAT or clinical quality. Sample and definitions are available in the methodology.
Evidence
Evidence with scope and limits
Fidelity in a controlled set
90% score in the v3.10 snapshot of 120 cases. It is not external clinical validation.
Try it in your real routine14 days free or up to 30 reports
Your exams, your templateon your own shift, not a demo environment
No credit cardno automatic charge
After the trial, if it makes sensePro: R$ 219/month, up to 1,000 reports
A platform exclusively for healthcare professionals and institutions.
The platform
A new layer of intelligence for radiologists and institutions.
From report creation to radiology quality management: AI, clinical automation and data analysis in a single experience.
REPORT — Dictate the way you think
The editor that understands radiology — not transcription: the AI understands clinical context, organizes your reasoning and writes the structured report while you keep looking at the image.
GUIDE — Classifications right where they belong
BI-RADS, LI-RADS, PI-RADS and the rest appear with the criteria in view, at the point in the report where you need them.
CRIT — Governed critical findings
Critical information at the right time: identification, physician confirmation and structured communication under SLA — every step recorded on the exam.
LaudAI — Structured and integrated reporting
Every report comes out exactly in your house style and goes straight back to your RIS/PACS. Less inconsistency, less rework, no unnecessary steps.
ASSISTIVE AI THE GOVERNED FLOW
Radiologists gain speed.
Institutions gain intelligence.
Physicians need fewer repetitive tasks and more time for diagnosis. Institutions need quality, safety and standardization at scale. In production, about 10 radiologist hours are recovered per 100 reports — and it is the same platform that gives that time back and makes it visible.
Context ready before the first click −
SOURCES
Worklist · indication · priors
ORIGIN
RIS / PACS, with no manual upload
Live structuring, review always visible +
Critical findings and audit trail +
AUDIO · CONFIGURABLE PROCESSING
DATA · DISTINCT LIFECYCLES
Data flow documented for each deployment
Audio, transcription, draft, final report, metadata, logs, and backups are distinct categories. Transmission, persistence, and retention depend on the feature and contracted configuration.
REGION AND SUBPROCESSORS · DOCUMENTED
→
CT
Dr. Marina Duarte
Chest CT · 09:30
EXAM CONTEXT
Non-contrast chest CT to investigate a chronic cough of 3 months. Former smoker, 20 pack-years. May radiograph with a right upper lobe opacity for correlation. 2024 prior in the PACS; indication and history imported from the RIS.
3 sources · PACS/RIS
Dictated findings
LIVE
✓
Ground-glass opacity
Right upper lobe, 8 mm
✓
Mediastinal lymph nodes
Calcified
✓
2024 prior
Stable in size
✓
No effusion or pneumothorax
Osseous structures preserved
REC 12:04
❚❚ PAUSE
BEFORE THE EXAM
The radiologist interprets
You keep your natural flow: look at the image, decide and dictate — no commands, no memorized phrases.
DURING DICTATION
The AI keeps up
It structures, organizes and accelerates: the report assembles in your house style in real time while your eyes stay on the image.
AFTER THE SIGNATURE
The institution follows along
You review and sign — and indicators, quality and performance stay visible, with an auditable trail. More productive physicians, smarter institutions, better-served patients.
Science and compliance
Artificial intelligence is only the beginning.
The goal is to organize the post-imaging layer with fewer operational steps and explicit controls. The physician provides the findings, reviews, edits, validates, and signs; the data flow is documented for each deployment.
Resolution
CFM 2.454/2026
Personal data
LGPD ANPD
Test dateJuly 2026
Version testedLaiBench v3.10
How many reportsHundreds of real cases
Who signsAlways the physician
v4Pulmonary noduleSource cited
v2Carotid stenosisSource cited
v1Breast densityUnder review
What changed in the review
3.2 cm nodule in the right upper lobe
3.8 cm nodule in the right upper lobe
Reviewed and signed by the physician2nd version of the report
14:38
CFM 2.454/2026
LGPD · ANPD
Rule announced
1st week
100% compliant
FIG. 01 · LAIBENCH
Fidelity measured in a controlled internal set.
The v3.10 snapshot records a 90% score across 120 cases. It is a fidelity benchmark, not external clinical validation.
See LaiBench
laudos.ai
Manifesto
Everything that comes after the image.
Artificial intelligence does not replace specialists — it lets them do more. The future of radiology is not human versus machine: it is physicians and technology together for better medicine.
DEPLOYMENT
From first contact to the real flow
01
A demo in your context
Your exam types, your institution’s template, your flow. No slides, straight into the product.
02
A pilot with the team
Radiologists using it in a real routine, with the institution’s templates, before any decision is made.
03
Assisted integration
PACS, RIS and worklist connected. The signed report goes back into your system.
Security documentation ready for IT and DPO review: architecture, encryption, subprocessors and data flow.
DIRECT QUESTIONS
Before you
book
Who is the author of the report? −
The radiologist, always. The AI is assistive: it structures and suggests. Review, editing and signature are the physician’s.
Is my data used to train models? +
Where does the data live? +
Does it integrate with my PACS and RIS? +
What about our own vocabulary? +
Will I need to change my workflow? +
The pilot maps templates, permissions, connectors, and contingency. How much the workflow changes depends on the current environment and the modules adopted.
How are critical findings handled? +
CRIT is in a controlled pilot. Detection depends on findings provided by the physician; confirmation, channels, recipients, timeframes, and closure are defined and tested for each deployment.
What is the regulatory status? +
A medium-risk assistive application under CFM Resolution 2,454/2026. It is not SaMD; it does not autonomously interpret images, diagnose, sign, or release reports. The physician provides the findings, reviews, edits, validates, and signs in the official system. See the control matrix.
How does deployment work? +
Within a few days your team can be reporting. The path: workflow mapping (PACS/RIS, modalities and templates), a demo with synthetic cases, a pilot with baseline metrics, and monitored production with support and auditing.
What if the AI is wrong or unavailable? +
Incorrect suggestions must be edited or discarded by the physician. During unavailability, the institution's contingency plan applies; we do not assume every workflow continues without impact. The public status shows only dated checks.
How do the trial and the subscription work? +
You try it for 14 days or up to 30 reports, no card, and can save up to 5 of your own templates. If it makes sense to continue, Pro costs R$ 219/month for up to 1,000 reports — about R$ 0.22 per report. See the details at /precos.
WHO IT SERVES
Different roles,
explicit controls.
Use scenarios, not testimonials. The radiologist remains responsible for interpretation and the report; the institution governs deployment, access, integration, and contingency.
RADIOLOGIST
From dictation to a structured draft
Provides findings and retains full control over review, editing, validation, and signing.
CLINICAL MANAGEMENT
Templates and governance
Defines standards, permissions, indicators, and contingency criteria for the local context.
IT AND DPO
Verifiable deployment
They assess connectors, data flows, subprocessors, access, retention, and evidence before production.
FROM THE BLOG
Written by people who report
L
Seven metrics every manager should see in real time, without opening report by report.
Live dashboard · SLA
Seven metrics every radiology manager should follow in real time
BY NATAN · MANAGEMENT
Meaningful human supervision: what CFM 2.454/2026 actually requires
BY NATAN · COMPLIANCE
TAT under control: how to measure and reduce turnaround without sacrificing quality
TAT ↓
TAT in radiology: how to measure and reduce turnaround without sacrificing quality
BLOG · OPERATIONS
From the screenshot in the on-call group to a closed-loop protocol
laudos.ai
+
CRIT
Communicating critical findings: from the WhatsApp screenshot to an auditable protocol
BLOG · CRITICAL FINDING
OPERATIONAL LIBRARY · CFM 2.454/2026
The question is proving the AI was used correctly.
CFM Resolution 2.454/2026 comes into force on 26 August 2026 and demands evidence produced inside the workflow, not internal policy. It is 16 pages, six playbooks and 36 implementation steps, sourced only from official standards: CFM, LGPD, ANPD, ACR, IHE, HL7, DICOM and NIST.
01
Auditable record
What has to be recorded per exam, and in what format, to hold up in an audit.
02
Demonstrable clinical supervision
How to turn medical review into evidence, rather than a statement of intent.
03
Preserved medical authorship
Who signs, what changed after the suggestion and how that is recorded.
NEXT STEP
More intelligence for every report.
More control across the entire operation.
Start as a radiologist or bring REPORT, GUIDE, CRIT, structured data and audit trails to your institution.
Individual plan: 14 days or 30 reports, no card required. Institutions: demonstration with synthetic data and pilot design.
FOR CLINICS, HOSPITALS AND TELERADIOLOGY
Report faster. Manage better.
Frequently asked questions
Does the AI sign the report?
No. The platform does not interpret images, make autonomous diagnoses, or autonomously sign or release reports. The physician provides the findings, reviews, edits, validates, and signs in the official system. Compliance
Where does the 52-second figure come from?
It is the median time from opening the editor for that exam to signature: 52 seconds in a fixed historical snapshot from April 9 to May 9, 2026, covering 5,200 completed reports. It does not measure total service TAT, clinical quality, causality, or future performance. Metrics methodology
Where is exam data stored?
It depends on the contracted feature and configuration. Audio, intermediate transcription, draft, final report, logs, and backups have distinct flows and retention periods; some subprocessors may process data outside Brazil. The applicable flow is documented for each deployment. Security
Does it integrate with my PACS and my RIS?
API, HL7, DICOM, and Agent are available integration paths, but compatibility depends on the system, version, connector, and contracted scope. Return to the RIS or PACS is validated for each deployment; there is no universal integration promise. Integrations
How do you prove that quality holds up?
LaiBench v3.10 records a 90% fidelity score on 120 cases from a controlled internal set, published on June 23, 2026. It is a fidelity benchmark, not external clinical validation; the radiologist remains responsible for interpretation and the report. LaiBench
What changes with CFM Resolution 2.454/2026?
The application is assistive, classified as medium risk, and is not Software as a Medical Device. Its controls support human oversight, physician authorship, and traceability; final compliance also depends on the deployment context and the responsibilities of the institution and physician. Operational Library for CFM 2.454
Content updated on .