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Deep Learning-Based Instance Appraisable Model (EDi Pain) for Pain Estimation via Facial Videos: A Retrospective Analysis and a Prospective Emergency Department Study

Crossref DOI link: https://doi.org/10.1007/s10278-025-01534-2

Published Online: 2025-05-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Yang, Yi-Cheng

Cheng, Wen-Hsiang

Lin, En-Ting

Liu, An-Sheng

Ko, Chia-Hsin

Huang, Chien-Hua

Tsai, Chu-Lin https://orcid.org/0000-0003-4639-1513
Fu, Li-Chen
Funding

Funding for this research was provided by:

National Science and Technology Council (112-2314-B-002-264)
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Text and Data Mining valid from 2025-05-12

Version of Record valid from 2025-05-12
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Article History

Received: 15 January 2025

Revised: 28 April 2025

Accepted: 29 April 2025

First Online: 12 May 2025

Declarations

:

: The National Taiwan University Hospital (NTUH) Institutional Review Board approved this study (201911054RINA).

: Informed consent was obtained from all participants in the National Taiwan University Hospital study.

: Informed consent was obtained from all participants in the National Taiwan University Hospital study for analyzing and publish their data. The manuscript does not contain any identifiable individual’s images or videos from the National Taiwan University Hospital study.

: The authors declare no competing interests.

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