Mission
Transforming the use of health data through ethical, safe and responsible artificial intelligence.
Specific objectives
How we work
Responsible data access
Design, implement, and operate a service that enables responsible access to health data and models, ensuring ethics, security, and legal compliance.
Training and education
Disseminate knowledge and promote training in responsible artificial intelligence applied to healthcare, qualifying professionals in the field.
Computational platform
Design, implement, and validate a computational platform for developing and using responsible AI solutions, focused on transparency and traceability.
Applied case studies
Plan, conduct, and evaluate case studies that demonstrate, in practice, the application of responsible AI in healthcare.
Technology transfer
Promote the transfer of technology and knowledge related to the deployment and operation of NIAR-Saúde, expanding the impact of the solutions developed.
Goals
Areas of work
The project is organized into seven concurrent goals, distributed across four types of activity: processes and best practices, computational platform, pilot projects and dissemination.
Goal 1
Responsible access service
Specification, implementation, and operation of an experimental service for responsible access to health data and models.
Coordination
Michele Brandão
Goal 2
Training and education
Knowledge dissemination and courses on ethics and use of the NIAR environment for training in responsible AI.
Coordination
Ana Paula Silva and Zilma Reis
Goal 3
Computational platform
Development and validation of a computational platform to support responsible AI in healthcare.
Coordination
Wagner Meira and Dorgival Guedes
Goal 4
AI for electrocardiogram (AI-ECG)
Development of an algorithm for automated ECG diagnosis, expanding access and supporting medical reporting.
Coordination
Antonio Ribeiro
Goal 5
Predictive models for NCDs
Prediction of chronic diseases and risk factors based on epidemiological and sociodemographic data.
Coordination
Deborah Malta
Goal 6
AI on SUS oncology data
Integration and predictive analysis of oncology patient data from SUS in Belo Horizonte.
Coordination
Mariangela Cherchiglia
Goal 7
Technology transfer
Dissemination and transfer of knowledge and technologies developed in the project.
Coordination
Wagner Meira
Our journey
History & Milestones
-
Signing of the TED
- Sep 2025
Project kickoff
-
NIAR Framework
- Mar 2026
Secure room inauguration