NIAR

NIAR-Saúde

Center for Responsible Artificial Intelligence in Health

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

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Updates

Latest news & events

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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.

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UFMG’s secure room for handling sensitive health data Media

March 10, 2026

UFMG becomes the first university in Brazil with a secure room for sensitive health data

The country’s first such environment enables sensitive-data processing and AI solutions to improve diagnoses, prognoses and treatments.

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Inauguration of NIAR-Saúde’s Secure Room at UFMG’s Medical School Event

March 09, 2026

NIAR-Saúde’s Secure Room is inaugurated to expand research with AI and health data

New space at UFMG’s Medical School lets AI analyses and models for health be developed in a controlled, monitored and auditable environment.

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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

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Recent articles and scientific output from the group.

  • 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

  • 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

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  • 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

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  • 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

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People

Our team

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Meet the people behind NIAR-Saúde.

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.

NIAR-Saúde assistant

Medical and legal questions about artificial intelligence in health?

Use LEME to explore medical and legal questions about liability, ethics, regulation and the use of artificial intelligence in health.

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