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Gaceta Médica Boliviana
Print version ISSN 1012-2966On-line version ISSN 2227-3662
Abstract
RAMOS-ZAGA, Fernando. Artificial Intelligence in the Clinical Management of Lung Cancer Across the Continuum of Care: A Critical Review of Current Evidence. Gac Med Bol [online]. 2025, vol.48, n.2, pp.174-181. Epub Dec 31, 2025. ISSN 1012-2966. https://doi.org/10.47993/gmb.v48i2.1134.
Objective:
to analyze the impact of artificial intelligence on the comprehensive management of lung cancer, assessing its diagnostic, therapeutic, and prognostic applications, as well as the barriers to its clinical implementation during the period 2021-2025.
Methods:
A narrative review was conducted of studies applying algorithms to personalized prevention, automated screening, precision diagnosis, and individualized prognostic stratification.
Results:
Potential benefits identified include greater sensitivity for early detection and optimization of therapeutic decision-making, along with limitations such as algorithmic opacity, data bias, lack of robust validation, and inequitable access.
Conclusions:
The integration of artificial intelligence into thoracic oncology requires the combination of clinical judgment, computational capacity, and ethical governance to achieve and equitable and sustainable impact.
Keywords : lung cancer; screening; precision medicine; health equity; artificial intelligence.
