Developing and Validating a Multimodal Dataset for Neonatal Pain Assessment to Improve AI Algorithms With Clinical Data
MD-NPL represents a productive alternative to OS-NPA for neonatal pain assessment, and the validity of the data labels within the Multimodality Dataset for Neonatal Acute Pain has been validating. These findings offer reliable validation for algorithms designed to assess neonatal pain.
Authors
- Tingqi Shi (ORCID: https://orcid.org/0000-0003-4694-8836)
- Huiping Jiang (ORCID: https://orcid.org/0000-0001-9539-1662)
- Yuanyuan Fang (ORCID: https://orcid.org/0000-0002-4562-0727)
- Nannan Yang
- Wanyuan Zhao
- Jing Li
- Ying Zhuang
- Li Zhu (ORCID: https://orcid.org/0000-0003-1583-2670)
Institutions
- Nanjing University of Chinese Medicine (CN)
- Zhaotong University (CN)
- Nanjing Drum Tower Hospital (CN)
Publication Details
- Journal
- Advances in Neonatal Care
- Published
- 2024-10-02
- DOI
- https://doi.org/10.1097/anc.0000000000001205
- Citations
- 3
- Primary Topic
- Pediatric Pain Management Techniques
- Type
- article
- Field-Weighted Citation Impact
- 3.33