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Orientador(es)
Resumo(s)
Artificial intelligence (AI) is increasingly integrated into radiological workflows, with most applications developed and validated in hospital-based environments where radiologists are readily available. In these settings, AI has demonstrated its ability to improve workflow efficiency, accelerate image triage, and support safer clinical decision-making, while complementing - rather than replacing - professional expertise [1-3].
Descrição
Palavras-chave
Artificial Intelligence Lung Thorax Digital radiography Computer Applications-Detection diagnosis Diagnostic procedure Education Education and training Image verification Quality assurance
Contexto Educativo
Citação
Editora
European Society of Radiology