Fontes

Primary references for AI in medicine and digital health

Uma análise responsável de IA médica separa norma, orientação institucional, literatura científica e opinião técnica para preservar a origem e o alcance de cada afirmação.

References page for medical AI, bringing together CFM, Anvisa, ANPD, WHO, FDA, AMA, NEJM AI, ambient clinical documentation and technical voices in digital health.

01

Primary sources

CFM, Anvisa, ANPD, WHO, FDA and AMA

CFM, Anvisa e ANPD sustentam a leitura brasileira de responsabilidade profissional, produto e dados pessoais. OMS, FDA e AMA oferecem referências internacionais; a literatura científica complementa a análise, sem assumir força normativa.

02

How to use each source

Standard, guide, list, policy and review

CFM guides medical responsibility in Brazil. Anvisa addresses SaMD. ANPD and LGPD guide sensitive personal data. WHO discusses ethics and governance. FDA lists devices authorized in the US. AMA frames the concept of augmented intelligence.

03

Complementary sources

Ambient documentation and technical voices

Microsoft Nuance DAX Copilot, Abridge, Nabla, Eric Topol, Robert Wachter, Suchi Saria, Nigam Shah, John Halamka and Peter Lee help track adoption, product, clinical practice and strategy in digital medicine.

Continue with these topics

Innovation & Intelligence

Strategic intelligence for healthcare. From complexity to clarity.

For workflows with sensitive data, we apply minimization and de-identification before any processing by language models, under double data anonymization. We use AI providers via the OpenAI and Google Gemini APIs under enterprise terms, with ZDR (Zero Data Retention) and BAA (Business Associate Agreement) enabled for eligible endpoints.

© 2026 DR² ThinkTech · All rights reserved

AI with clinical responsibility · B2B-only model