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IMPACTO DA INTELIGÊNCIA ARTIFICIAL NA PRECISÃO DO DIAGNÓSTICO DA DOENÇA PULMONAR OBSTRUTIVA CRÔNICA: UMA REVISÃO SISTEMÁTICA

Doi: 10.47094/CESMED.2025/36

PALAVRAS CHAVE: Diagnóstico. DPOC. Inteligência artificial. Tecnologia.

KEYWORDS: Diagnosis. COPD. Artificial Intelligence. Technology.

ABSTRACT:
INTRODUCTION: Chronic Obstructive Pulmonary Disease (COPD) is a highly prevalent condition diagnosed by clinical, spirometric, and tomographic criteria. The incorporation of new technologies has shown promise in the analysis of imaging tests, spirometry, and clinical patterns, enabling more accurate identification in the diagnosis of lung diseases. Analysis of studies has shown that Artificial Intelligence (AI) tools, when combined with traditional approaches, can outperform conventional approaches alone. OBJECTIVE: To analyze the impact of AI on the accuracy of COPD diagnosis.

Autores

  • Ana Luísa Teixeira Castanheira

  • Larissa Pereira Santos

  • Roseliane de Souza Araújo

  • Sophia Soares Teixeira de Souza

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