This paper is in the following e-collection/theme issue:

Digital Pain Assessment and Management (164) Machine Learning (1465) Artificial Intelligence (1371) Pain in Children and Adolescents (40) Mobile Health (mhealth) (2941)

Published on in Vol 25 (2023)

The Clinical Suitability of an Artificial Intelligence–Enabled Pain Assessment Tool for Use in Infants: Feasibility and Usability Evaluation Study

The Clinical Suitability of an Artificial Intelligence–Enabled Pain Assessment Tool for Use in Infants: Feasibility and Usability Evaluation Study

The Clinical Suitability of an Artificial Intelligence–Enabled Pain Assessment Tool for Use in Infants: Feasibility and Usability Evaluation Study

Authors of this article:

Jeffery David Hughes1 Author Orcid Image ;   Paola Chivers2, 3 Author Orcid Image ;   Kreshnik Hoti4 Author Orcid Image
Article Authors Cited by (6) Tweetations (3) Metrics

Journals

  1. Huo J, Yu Y, Lin W, Hu A, Wu C. Application of AI in Multilevel Pain Assessment Using Facial Images: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2024;26:e51250 View
  2. Yoshimi Y, Matsuura T, Miyazato K, Takahashi S, Tanaka N, Morinaga H, Hayata A, Onishi M, Nagano Y, Ohnishi H. Availability of Observational Pain Assessment Tools in Hospitalized Patients with Osteoporotic Vertebral Fractures. Medicina 2024;60(8):1217 View
  3. Srivastava S, Khanna V. Management of Pain in Patients with Osteoporotic Fractures. International Journal of Innovative Science and Research Technology (IJISRT) 2024:1838 View
  4. Cascella M, Leoni M, Shariff M, Varrassi G. Artificial Intelligence-Driven Diagnostic Processes and Comprehensive Multimodal Models in Pain Medicine. Journal of Personalized Medicine 2024;14(9):983 View
  5. Yang N, Zhuang Y, Jiang H, Fang Y, Li J, Zhu L, Zhao W, Shi T. Developing and Validating a Multimodal Dataset for Neonatal Pain Assessment to Improve AI Algorithms With Clinical Data. Advances in Neonatal Care 2024 View