Written by people who sign reports
Our articles are written in Portuguese by practicing radiologists and cover what the routine actually asks: structured reporting, interobserver agreement, TAT measurement, critical-finding protocols, LGPD and the Brazilian AI regulation for medicine (CFM 2.454/2026).
Four modules, one clinical flow
Voice findings become a structured draft for physician review, editing, validation and signature.
Detection depends on physician-provided findings; channels, timing and closure are validated per deployment.
Classification suggestions sourced from RadCommons and always subject to physician review.
Draft structure per modality, subject to configuration, contract and physician review.
Plugs into your existing flow
API, HL7/DICOM and Agent are different paths. Compatibility depends on system, version and connector and is validated per deployment; there is no universal integration claim.
Governance first
Assistive application under CFM 2.454/2026; no autonomous image interpretation, diagnosis, signature or release.
Processing, transmission, persistence, logs, retention, backups and regions are documented separately.
RadCommons is the cited corpus; LaiBench is an internal controlled fidelity benchmark, not external clinical validation.
Historical production snapshot: April 9 to May 9, 2026; n = 5,200. It is not a live rolling window.
Os tempos citados nesta página vêm de medição em produção, do editor aberto à assinatura. O evento, a janela e o N estão em Metodologia das métricas.
Conteúdo atualizado em .