Developing and Validating a Multimodal Dataset for Neonatal Pain Assessment to Improve AI Algorithms With Clinical Data.

Journal: Advances in neonatal care : official journal of the National Association of Neonatal Nurses
PMID: 39356566

Abstract

BACKGROUND: Using Artificial Intelligence (AI) for neonatal pain assessment has great potential, but its effectiveness depends on accurate data labeling. Therefore, precise and reliable neonatal pain datasets are essential for managing neonatal pain.

Authors

  • Nannan Yang
    Author Affiliations: School of Nursing, Nanjing University of Chinese Medicine, Nanjing, Jiangsu Province, China (Ms Yang); Department of Obstetrics, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu Province, China (Mss Zhuang, Jiang, Fang, Li, Zhu and Zhao); and Department of Nursing, Nanjing Drum Tower Hospital, School of Clinical, College of Nanjing University of Chinese Medicine , Nanjing, Jiangsu Province, China (Ms Shi).
  • Ying Zhuang
    Department of Oncology, The Second Hospital of Nanchang, Nanchang 330003, China.
  • Huiping Jiang
  • Yuanyuan Fang
  • Jing Li
    Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, China.
  • Li Zhu
    Medical College, Yangzhou University, Yangzhou 225001, China.
  • Wanyuan Zhao
  • Tingqi Shi

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