Carbapenem resistance in Pseudomonas aeruginosa and Enterobacterales is a growing threat, with intrinsic and acquired resistance mechanisms resulting in the need for new therapeutic options. In Peru, data on resistance patterns and the effectiveness of new antibiotic combinations are limited A descriptive, cross-sectio...
J. C. Gómez de la Torre Pretell, M. Hueda-Zavaleta, Luis Alvarado Ríos et al.· PLoS ONE· 0 citations
Background: Antimicrobial resistance complicates the selection of appropriate regimens for urinary tract infections (UTIs), even when susceptibility data are available, particularly where infectious disease (ID) expertise is scarce. Machine learning clinical decision support systems (CDSS) may support prescribing, but...
J. C. Gómez de la Torre, A. Frenkel, Carlos Chavez-Lencinas et al.· Diagnostics· 0 citations
Antimicrobial resistance is among the leading causes of global mortality, and artificial intelligence (AI)-based clinical decision support systems (CDSS) have been proposed to guide antibiotic prescribing. Several AI models for antibiotic decision-making have been developed and validated, but their actual deploymen...
M. Hueda-Zavaleta, Rodrigo Flores-Palacios, Fabrizzio Bardales-Silva et al.· Frontiers in Digital Health· 0 citations
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