Artificial intelligence-based clinical decision support in pediatrics

S Ramgopal, LN Sanchez-Pinto, CM Horvat… - Pediatric …, 2023 - nature.com
Abstract Machine learning models may be integrated into clinical decision support (CDS)
systems to identify children at risk of specific diagnoses or clinical deterioration to provide …

[HTML][HTML] Artificial intelligence in child development monitoring: A systematic review on usage, outcomes and acceptance

L Reinhart, AC Bischops, JL Kerth… - Intelligence-based …, 2024 - Elsevier
Abstract Objectives Recent advances in Artificial Intelligence (AI) offer promising
opportunities for its use in pediatric healthcare. This is especially true for early identification …

Potential parental determinants of the pace of evidence-based practice change in children's mental health care.

MM Davis, ME Heffernan, LA Bilaver… - Families, Systems, & …, 2024 - psycnet.apa.org
Background: Strength of evidence is key to advancing children's mental health care but may
be inadequate for driving practice change. The Designing for Accelerated Translation …

Learning to swim and swimming skills among parents and their children in Chicago

N Rajeh, A Bendelow, ME Heffernan, S Kendi… - …, 2023 - publications.aap.org
Methods This cross-sectional survey used the Voices of Child Health in Chicago Parent
Panel 4 to ascertain parent and child experiences with swim lessons and swimming skills …

Childhood exposure to firearm violence in Chicago and its impact on mental health

T Lennon, S Kemal, ME Heffernan, A Bendelow… - Academic pediatrics, 2024 - Elsevier
Objective To describe how often Chicago children are exposed to firearm violence, the types
of exposure, and the parent-reported impact of these exposures on child mental health …

Targeted vaccine messaging to promote COVID-19 vaccines for children and youth

ME Heffernan, A Bendelow, LK Kociolek, TL Smith… - …, 2023 - publications.aap.org
OBJECTIVES To assess the effectiveness of distinct message types in promoting
coronavirus disease 2019 (COVID-19) vaccination intentions for parents of children and …

[HTML][HTML] Technical/Algorithm, Stakeholder, and Society (TASS) Barriers to the Application of Artificial Intelligence in Medicine: A Systematic Review

LT Li, LC Haley, AK Boyd, EV Bernstam - Journal of Biomedical Informatics, 2023 - Elsevier
Introduction The use of artificial intelligence (AI), particularly machine learning and
predictive analytics, has shown great promise in health care. Despite its strong potential …

Attitudes on Artificial Intelligence use in Pediatric Care From Parents of Hospitalized Children

LC Haley, AK Boyd, NB Hebballi, EW Reynolds… - Journal of Surgical …, 2024 - Elsevier
Introduction Artificial intelligence (AI) may benefit pediatric healthcare, but it also raises
ethical and pragmatic questions. Parental support is important for the advancement of AI in …

[HTML][HTML] Monitoring welfare indicators of rainbow trout (Oncorhynchus mykiss) in a commercial organic farm: Effects of an innovative diet and accelerometer tag …

L Toomey, M Gesto, S Alfonso, I Lund, A Jokumsen… - Aquaculture, 2024 - Elsevier
To meet the growing demand for aquatic products, the aquaculture sector is expanding,
including organic aquaculture. One of the main challenges in this industry is the …

Barriers to Swimming Lessons for Children

ML Macy, S Kendi, A Beale-Tawfeeq… - …, 2024 - publications.aap.org
Methods Data were collected in October and November 2022 through the Voices of Child
Health in Chicago Parent Panel Survey, administered tri-annually in English and Spanish …