Center for artificial intelligence in health management

• Grant number: 24/08485-8
• Support Opportunities: Research Grants - Research Centers in Engineering Program
• Start date: June 01, 2025
• End date: May 31, 2030
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computer Systems
• Principal Investigator: Alexandre Cláudio Botazzo Delbem
• Grantee: Alexandre Cláudio Botazzo Delbem
• Host Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
• Pesquisadores principais: Antônio Pazin Filho ; Carlos Dias Maciel ; Cláudia Ferreira da Rosa Sobreira ; Ester Cerdeira Sabino ; Fátima de Lourdes dos Santos Nunes Marques ; João Pereira Leite ; Luisa Karla de Paula Arruda ; Luiz Otavio Murta Junior ; Marcio Biczyk Do Amaral ; Paulo Mazzoncini de Azevedo Marques ; Renato Tinós
• Associated researchers: Adenilso da Silva Simão ; Adriano Almeida Gonçalves Siqueira ; Alan Luiz Eckeli ; Alessandra Cristina Guedes Pellini ; Alneu de Andrade Lopes ; Anderson da Silva Soares ; André Schmidt ; Andrea de Cássia Vernier Antunes Cetlin ; Anete Sevciovic Grumach ; Anna Sara Shafferman Levin ; Antonio Carlos dos Santos ; António Gaspar Lopes da Cunha ; Antonio Mauro Saraiva ; Ariane Machado Lima ; Arlindo Rodrigues Galvão Filho ; Bernardino Geraldo Alves Souto ; Carolina Sales Vieira ; Cibele Maria Russo Novelli ; Claudio Bielenki Junior ; Claudio Fabiano Motta Toledo ; Cristina Maria Kokron ; Cynthia de Oliveira Lage Ferreira ; Daniel Guimarães Tiezzi ; Diego Furtado Silva ; Dilvan de Abreu Moreira ; Elen Almeida Romão ; Erika Regina Manuli ; Fabio Carmona ; Fabio Eudes Leal ; Fabio Gagliardi Cozman ; Fábio Viana Gama ; Fabíola Traina ; Fernando Santos Osório ; Flavio Luiz Coutinho ; Francisco Chiaravalloti Neto ; Francisco José Candido dos Reis ; Francisco José Monaco ; Francisco Louzada Neto ; Gerson Laurindo Barbosa ; Helena Paula Brentani ; Iman Ghodratitoostani ; Ivan Coelho Machado ; Jó Ueyama ; João Mazzoncini de Azevedo Marques ; Joaquim Cezar Felipe ; Jorge Elias Júnior ; Jorge Elias Kalil Filho ; José Fernando Rodrigues Júnior ; José Sebastião dos Santos ; José Simon Camelo Junior ; Júlio César Garcia de Alencar ; Julio Cesar Rosa e Silva ; Júlio Cézar Estrella ; Kalinka Regina Lucas Jaquie Castelo Branco ; Leandro Nunes de Castro Silva ; Lidia Maria Reis Santana ; Marcio Katsumi Oikawa ; Marcos de Sales Guerra Tsuzuki ; Mariá Cristina Vasconcelos Nascimento Rosset ; Mariana Paes Leme Ferriani ; Mariana Severo Ramundo ; Marina Mendonça Dias ; Mario de Castro Andrade Filho ; Maristela Oliveira dos Santos ; Mellina Yamamura Calori ; Mônica Tilli Reis Pessoa Conde ; Nereida Kilza da Costa Lima ; Octávio Marques Pontes-Neto ; Oilson Alberto Gonzatto Junior ; Omero Benedicto Poli Netto ; Paulo Hilário Nascimento Saldiva ; Pedro Francisco Giavina-Bianchi Junior ; Pedro José Tomaselli ; Pérsio Roxo-Júnior ; Rafael Naime Ruggiero ; Raphael Del Roio Liberatore Junior ; Ricardo Lutzky Saute ; Ricardo Marcondes Marcacini ; Rodolfo Borges dos Reis ; Roger Chammas ; Rubens Fazan Junior ; Selma Freire de Carvalho ; Sérgio Henrique Vannucchi Leme de Mattos ; Sheila de Oliveira Garcia Mateos ; Silvia Figueiredo Costa ; Solange Oliveira Rezende ; Telma Woerle de Lima Soares ; Tonicarlo Rodrigues Velasco ; Valdair Francisco Muglia ; Vanderlei Bonato ; Vera Lucia Damasceno Tomazella ; Zhao Liang

Abstract

Health systems form a complex structure whose understanding and modeling involve multiple factors and their relationships. Brazil's demographic diversity makes Health Management an even more challenging scenario. On the other hand, overcoming them can produce significant advances for Health in Brazil and worldwide. Advanced Artificial Intelligence (AI) methods have generated significant discoveries with socioeconomic impact for several complex problems. This Center proposal seeks to catalyze the knowledge of excellence groups at USP and other research institutions in the state of SP to develop advanced AI methods capable of overcoming such challenges. To achieve this, the Center's projects must innovate on the main fronts of AI research, such as Deep Learning (Graph Neural Networks, Large Language Models, and Diffusion Models), Interpretable Structural and Causal Models, and Multi-Criteria decision-making, to deal with multiple data modalities, with the demand for system interoperability and unstructured health data, seeking to improve efficiency, cost-benefit and quality of health services, for micro- and macro-management (public hospitals, private and health institutions) generating consistent and interpretable models that enable reliable decision making. (AU)