Human vs machine towards neonatal pain assessment: A comprehensive analysis of the facial features extracted by health professionals, parents, and convolutional neural networks-Reference-Cited by-同舟云学术

Human vs machine towards neonatal pain assessment: A comprehensive analysis of the facial features extracted by health professionals, parents, and convolutional neural networks

Published:2024-01 Issue: Volume:147 Page:102724
ISSN:0933-3657
Container-title:Artificial Intelligence in Medicine
language:en
Short-container-title:Artificial Intelligence in Medicine

Author:

Carlini Lucas Pereira^ORCID,Coutrin Gabriel de Almeida Sá^ORCID,Ferreira Leonardo Antunes^ORCID,Soares Juliana do Carmo Azevedo,Silva Giselle Valério Teixeira^ORCID,Heiderich Tatiany Marcondes^ORCID,Balda Rita de Cássia Xavier^ORCID,Barros Marina Carvalho de Moraes^ORCID,Guinsburg Ruth^ORCID,Thomaz Carlos Eduardo^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Medicine (miscellaneous)

Reference36 articles.

1. Genetic architecture of human pain perception;Diatchenko;Trends Genet,2007

2. Idiopathic pain disorders–pathways of vulnerability;Diatchenko;Pain,2006

3. Do we still hurt newborn babies?: A prospective study of procedural pain and analgesia in neonates;Simons;Arch Pediatr Adolesc Med,2003

4. Epidemiology of painful procedures performed in neonates: a systematic review of observational studies;Cruz;Eur J Pain,2016

5. Early neonatal pain—A review of clinical and experimental implications on painful conditions later in life;Williams;Front Pediatr,2020

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Minimizing Neonatal Pain: The Comparative Efficacy of Breastfeeding, Breast Milk, and Other Nonpharmacologic Measures;Breastfeeding Medicine;2024-02-01