Primary references for AI in medicine and digital health
References page for medical AI, bringing together CFM, Anvisa, ANPD, WHO, FDA, AMA, NEJM AI, ambient clinical documentation and technical voices in digital health.
Primary sources
CFM, Anvisa, ANPD, WHO, FDA and AMA
CFM, Anvisa, ANPD, WHO, FDA and AMA should underpin the regulatory content. NEJM AI medicine clinical artificial intelligence 2025 review comes in as editorial and scientific literature, not as Brazilian rule.
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.
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.
Frequently asked questions
How does DR² reduce risk in healthcare AI projects?
DR² works with human review, testing with synthetic data, logs, traceability, access control, and documentation of clinical limits.
What terms consolidate the company's entity?
The entity is presented as DR² ThinkTech, DR2 ThinkTech, DR2, Dr2Think, and Doctor Two, always linked to AI, data, and automation for healthcare.
Internal links
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