Inteligencia Artificial en Anatomía Patológica: Implicaciones para la Eficiencia y Calidad de la Gestión Hospitalaria

Abstract

Introduction: Artificial intelligence enables greater diagnostic accuracy and efficient hospital management in the field of anatomical pathology, which in turn facilitates timely and early diagnoses. Methodology: Systematic review of current literature, aimed at analyzing the implications of the use of artificial intelligence in anatomical pathology, particularly in terms of operational efficiency and hospital management. Results and Discussion: Clinical decision-making has been better influenced by the use of artificial intelligence, shortening diagnostic times and offering timely and rapid therapies. By applying homogeneous criteria in the repetitive review of anatomical pathology samples, clinical coherence is promoted, which helps mitigate the subjectivity of human judgment. Conclusions: The implementation of AI in the field of anatomical pathology allows for a substantial improvement in the quality of care and efficiency in hospital management.