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FERRAMENTAS DE INTELIGÊNCIA ARTIFICIAL PARA PESQUISADORES DA ÁREA DA SAÚDE: AVANÇOS, POTENCIALIDADES E IMPLICAÇÕES PARA A PESQUISA CIENTÍFICA

Doi: 10.47094/978-65-284-0281-6/620-629

PALAVRAS CHAVE: Inteligência Artificial. Pesquisa em Saúde. Ferramentas Digitais. Aprendizado de Máquina. Saúde Digital.

KEYWORDS: Artificial Intelligence. Health Research. Machine Learning. Digital Health. Biomedical Data.

ABSTRACT:
This study aims to identify and analyze the main AI tools used by health researchers, their applications, benefits, limitations, and implications for contemporary scientific research. It is a quantitative-qualitative investigation with a descriptive, cross-sectional design. The methodology includes a literature review, a survey of computational platforms, and an analysis of the technical, scientific, and operational characteristics of these technologies. Preliminary results indicate a rapid expansion of AI use in different areas of health, especially in medical image analysis, epidemiological prediction, natural language interpretation, and molecular modeling. These findings reinforce that AI has the potential to transform health research, but requires careful attention to ethics, data reliability, algorithmic transparency, and professional training.

Autores

  • Ana Clara do Nascimento de Oliveira

  • Joao Pedro Marques de Lima Souza

  • Marcos Cruz de Azevedo

  • Ricardo Marciano dos Santos

  • Vinícius Marques da Silva Ferreira

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