Palavras-chave
Inteligência artificial
Sistemas inteligentes
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Resumo
Objetivo: Analisar as aplicações, percepções de usuários, barreiras de implementação e implicações éticas da Inteligência Artificial (IA) na Atenção Primária à Saúde (APS), propondo estratégias para sua integração segura e equânime. Métodos: Revisão integrativa com coleta de dados em bases científicas (2020-2025). O objeto compreende a produção global sobre IA na APS, utilizando protocolo estruturado com descritores controlados (MeSH/DeCS) e critérios de inclusão focados na temática. Resultados: Os resultados revelam um paradoxo de maturidade: enquanto oftalmologia e dermatologia atingem precisão técnica avançada, a integração assistencial permanece fragmentada por uma "especialização contextual". O Norte Global automatiza a eficiência administrativa, enquanto o Sul Global utiliza a IA como equalizador de acesso via leapfrogging tecnológico. Identificou-se um "otimismo cauteloso": profissionais enfrentam o dilema do deskilling e da desumanização do vínculo, ao passo que pacientes priorizam a celeridade diagnóstica. Interoperabilidade, dados de qualidade e governança emergem como gargalos críticos que impedem a transição definitiva da validação in silico para o mundo real. Considerações finais: O ponto forte deste estudo é a síntese multidimensional inédita que integra evidências técnicas às dimensões socioculturais e éticas específicas da APS. A principal limitação reside na exclusão de inovações proprietárias protegidas por paywalls institucionais.
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