Publications by authors named "W Tatiana Garzon-Siatoya"
Background: Maximal skin testing (ST) nonirritant concentrations (NICs) are consistent for penicillin and aminopenicillin among guidelines. However, there is variability among guidelines for maximal ST NICs of cephalosporins.
Objective: To determine maximal immediate and delayed ST NICs of 15 β-lactams in β-lactam-tolerant and β-lactam-naïve participants.
Article Synopsis
- Cardiomyopathy significantly contributes to pregnancy-related deaths, especially during the late postpartum period, highlighting the need for timely diagnosis.* -
- A study evaluated AI-enhanced ECG and digital stethoscope technologies to detect left ventricular dysfunction in pregnant and postpartum women, showing impressive diagnostic accuracy.* -
- The AI-ECG achieved a perfect accuracy (AUC: 1.0), while the digital stethoscope also performed strongly (AUC: 0.98-0.97), suggesting these technologies could improve cardiac screening in obstetric care.*
Background: Using the reaction history in logistic regression and machine learning (ML) models to predict penicillin allergy has been reported based on non-US data.
Objective: We developed ML positive penicillin allergy testing prediction models from multisite US data.
Methods: Retrospective data from 4 US-based hospitals were grouped into 4 datasets: enriched training (1:3 case-control matched cohort), enriched testing, nonenriched internal testing, and nonenriched external testing.
Background: Artificial intelligence (AI), and more specifically deep learning, models have demonstrated the potential to augment physician diagnostic capabilities and improve cardiovascular health if incorporated into routine clinical practice. However, many of these tools are yet to be evaluated prospectively in the setting of a rigorous clinical trial-a critical step prior to implementing broadly in routine clinical practice.
Objectives: To describe the rationale and design of a proposed clinical trial aimed at evaluating an AI-enabled electrocardiogram (AI-ECG) for cardiomyopathy detection in an obstetric population in Nigeria.