2. Seyyed-Kalantari L, et al. Underdiagnosis bias of artificial intelligence algorithms applied to chest radiographs in under-served patient populations. Nat Med. 2021;27:2176-2182. DOI: 10.1038/s41591-021-01595-0
3. Gichoya JW, et al. AI recognition of patient race in medical imaging: a modelling study. Lancet Digital Health. 2022;4(6):e406-e414. DOI: 10.1016/S2589-7500(22)00063-2
4. IBGE. Pesquisa Nacional por Amostra de Domicílios Contínua (PNAD) — Características Gerais dos Moradores. 2022.
O LAUDOS.Ai foi projetado e treinado considerando a diversidade linguística e clínica do Brasil. Sem vieses importados de datasets estrangeiros — uma plataforma que entende o contexto do radiologista brasileiro.
Current workflow
Natural voice
Radiologists speak findings naturally while the platform handles structure, punctuation, and review.
Structured reports
Templates and fields preserve modality standards without blocking physician edits before signature.
Governance
Real adoption depends on access control, auditability, privacy, integrations, and operational traceability.