TY - JOUR
KW - smartphone-based diagnostics
KW - Chagas
KW - Chagas disease
KW - Artificial Intelligence
KW - Validation studies
AU - GEBRAN CH KJ
AU - LEYVA JL
AU - DEMOLDER A
AU - KRESNAKOVA V
AU - Omaña-Ávila ÓD
AU - MILANO-MARTÍNEZ JM
AU - GÓMEZ-FERNÁNDEZ JM
AU - RAFAJDUS A
AU - Forero-Peña DA
AU - HERMAN R
AU - Mendoza I
AB -
Highlights
- The artificial intelligence-enhanced electrocardiographic (AI-enhanced ECG) model achieved high sensitivity and negative predictive values for detecting left ventricular systolic dysfunction in Chagas disease patients using photographed paper-based ECGs.
- Model performance remained robust across ECGs of varying quality and in populations outside the training dataset.
- The smartphone-compatible AI-enhanced ECG offers a scalable, low-cost solution for the early detection of cardiac dysfunction in low-resource settings.
BT - Journal of Cardiac Failure - Intersections
DA - 11/2025
DO - 10.1016/j.yjcafi.2025.08.010
IS - 2
LA - ENG
M3 - Article
N2 - Highlights
- The artificial intelligence-enhanced electrocardiographic (AI-enhanced ECG) model achieved high sensitivity and negative predictive values for detecting left ventricular systolic dysfunction in Chagas disease patients using photographed paper-based ECGs.
- Model performance remained robust across ECGs of varying quality and in populations outside the training dataset.
- The smartphone-compatible AI-enhanced ECG offers a scalable, low-cost solution for the early detection of cardiac dysfunction in low-resource settings.
PB - Elsevier BV
PY - 2025
SP - 176
EP - 180
T2 - Journal of Cardiac Failure - Intersections
TI - Smartphone-based AI-enhanced ECG Detection of Left Ventricular Systolic Dysfunction in Chagas Disease: External Validation in a Resource-limited Setting
UR - https://pdf.sciencedirectassets.com/789132/1-s2.0-S3050661125X00034/1-s2.0-S3050661125000383/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjEJr%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJGMEQCIAeEp7y8xiBTdiqhzl140WcMoOUXYnfdfeCgOFMR1QP8AiAnP88gucqj%2BC
VL - 1
SN - 3050-6611
ER -