Instituto Nacional de Salud del Niño

Artificial Intelligence in Paediatric Tuberculosis

Jaishree Naidoo, Susan C. Shelmerdine, Carlos F. Ugas-Charcape et al.

2023 · 22 Zit.

After a few months, what are the uses of OpenAI’s ChatGPT in medicine? A Scopus-based systematic review

Jeel Moya‐Salazar, Carmen R. Salazar, Stephany S Delzo et al.

2024 · 3 Zit.

Maximizing Survival in Pediatric Congenital Cardiac Surgery Using Machine Learning, Explainability, and Simulation Techniques

David Mauricio, Jorge Cárdenas-Grandez, Giuliana Vanessa Uribe Godoy et al.

2024 · 3 Zit.

AI implementation in pediatric radiology for patient safety: a multi-society statement from the ACR, ESPR, SPR, SLARP, AOSPR, SPIN

Susan C. Shelmerdine, Jaishree Naidoo, Brendan S. Kelly et al.

2025 · 2 Zit.

Pediatric Radiology in Resource-Limited Settings

Carlos F. Ugas-Charcape, Jaishree Naidoo, Kushaljit Singh Sodhi

2022 · 2 Zit.

Machine learning models for estimating fetal weight based on ultrasonographic biometry: Development and validation study

Marcos Espínola-Sánchez, Antonio Limay Ríos, Andrés Campaña-Acuña et al.

2025 · 1 Zit.

Correction: AI implementation in pediatric radiology for patient safety: a multi-society statement from the ACR, ESPR, SPR, SLARP, AOSPR, SPIN

Susan C. Shelmerdine, Jaishree Naidoo, B E Kelly et al.

2026 · 0 Zit.

The impact of artificial intelligence-driven risk prediction on clinical decisions in heart failure patients: the design of an international vignette study

J Ten Broeke, M J Boonstra, R W M Vernooij et al.

2026 · 0 Zit.

Aybar´s classification: a simple classification for open fractures with good interobserver and intraobserver reliability.

Alfredo Aybar Montoya, Jorge H. Núñez, Oscar A. Solís Cruz et al.

2022 · 0 Zit.