Research areas
Four priority areas
Clinical validation and evidence
Real-world performance of AI tools in Brazilian populations, outcomes and patient safety.
Medical education and AI
How to teach, assess and certify AI competencies in undergraduate studies, residency and continuing education.
Ethics, bias and safety
Equity, explainability, professional responsibility and the limits of automation in medical decision-making.
Data, LGPD and governance
Patient data protection, interoperability and institutional AI governance models.
Collaborative research
How to propose a project with SOBIAM
Universities, hospitals, researchers and companies may submit proposals for multicenter research, validation studies and pilot projects.
Step 1Preliminary proposalA one-page summary: research question, population, data and partners.
Step 2Scientific assessmentThe Scientific Council reviews merit, feasibility and alignment with research areas.
Step 3Ethics and dataEthics Committee review, CEP/CONEP where applicable, and a data protection plan (LGPD).
Step 4Implementation and publicationCooperation agreement, implementation by the responsible team and open publication of results.