NIAR

NIAR-Saúde

Center for Responsible Artificial Intelligence in Health

Interdisciplinary research bringing computing and health together, turning data into reliable solutions.

Discover the project View publications

Updates

Latest news & events

View all news
Michele Amaral Brandão, Ramon Gonçalves Pereira and Mariangela Leal Cherchiglia side by side, holding CI-IA Saúde bags Event

September 17, 2026

NIAR-Saúde introduces the centre at the IV CI-IA Saúde Symposium

In a talk at UFMG, Mariangela Leal Cherchiglia, Michele Amaral Brandão and Ramon Gonçalves Pereira introduced the centre to students, researchers and health professionals gathered to discuss how to advance AI in Brazilian healthcare.

Read the story
Marisa Vasconcelos presents NIAR-Saúde’s work at Data for Policy 2026, with the FIAR slide projected behind her Event

September 17, 2026

NIAR-Saúde presents AI governance framework at Data for Policy 2026

At the conference’s 10th edition, in Barcelona, the group presented FIAR, which turns responsible AI principles into evidence and maturity levels for the continuous oversight of systems.

Read the story
Ramon Pereira presents NIAR-Saúde’s paper at SBCAS 2026 in Ouro Preto Event

June 04, 2026

NIAR-Saúde presents paper on responsible AI at SBCAS 2026

The group brought to the Brazilian Symposium on Computing Applied to Health a study on forecasting respiratory hospitalizations with SUS data and the responsible use of artificial intelligence.

Read the story

Our pillars

Innovation in responsible data and artificial intelligence for health

NIAR-Saúde's work brings together governance, data and models and applications to develop responsible, trustworthy artificial intelligence solutions for health.

Governance

Structuring processes and practices for the responsible use of artificial intelligence, focusing on quality, risk management, transparency and continuous governance.

Data and Models

Development and operation of data and artificial intelligence models, covering data engineering, building, evaluation and continuous monitoring of solutions.

Applications

Applying data and models in health contexts, focusing on impact, cost-effectiveness and decision-making support across different scenarios.

Publications

Recent work

Recent articles and scientific output from the group.

View all publications

  • From Principles to Longitudinal AI Governance: An Evidence-Based Framework for Continuous Oversight

    2026 Goal 1

    Vasconcelos, M., Pereira, R.G., Brito, L.E., Brandão, M.A., Marques-Neto, H.T., Almeida, J.M., Silva, A.P.C., Meira Jr, W., Almeida, V.

    Proceedings of the Data for Policy 2026 Conference

    Access

  • Responsible AI for Public Health: A Methodological Illustration with a Forecasting Model applied to Respiratory Hospitalizations on SUS Data

    2026 Goal 1

    Pereira, R.G., Brito, L.E.L., Avelar, I., Carvalho, M., Vasconcelos, M., Brandão, M.A., Meira Jr, W.

    Anais do Simpósio Brasileiro de Computação Aplicada à Saúde (SBCAS), 2026

    Access

  • Quem controla os dados? Governança e Responsabilidade na Era da Inteligência Artificial

    2026 Goal 1

    Carvalho, M., Azevedo, K., Rocha, L., Vasconcelos, M., Brandão, M., Meira, W.

    SBC Horizontes, ISSN 2175-9235, April 2026

    Access

  • Artificial intelligence in the electrocardiogram: automatic diagnosis of the normal ECG in a Tele-electrocardiogram service

    2025 Goal 4

    Paixão, G., Abreu, P.E., Gomes, P.G., Schön, T.B., Ribeiro, A.H., Ribeiro, A.L.P.

    European Heart Journal, Volume 46, Issue Supplement_1, November 2025, ehaf784.4407

    Access

People

Our team

Meet the people behind NIAR-Saúde.

View full team
Wagner MeiraMichele BrandãoDorgival GuedesAna Paula SilvaVirgílio Almeida
+61 people

Computing · Medicine · Bioethics · Public health

Different fields brought together by a common goal: promoting the responsible use of artificial intelligence in health.

LEME

Medical and legal questions about artificial intelligence in health?

Use LEME, a tool for exploring medical and legal questions about liability, ethics, regulation and the use of artificial intelligence in health.

Open LEME