Editorial: Integrating sensors and artificial intelligence for objective pain detection and quantification: unveiling new possibilities.

Saved in:
Bibliographic Details
Title: Editorial: Integrating sensors and artificial intelligence for objective pain detection and quantification: unveiling new possibilities.
Authors: Kong Y; Department of Biomedical Engineering, University of Connecticut, Storrs, CT, United States., Fernandez Rojas R; Human-Centred Technology Research Centre, Faculty of Science and Technology, University of Canberra, Canberra, ACT, Australia., Posada-Quintero HF; Department of Biomedical Engineering, University of Connecticut, Storrs, CT, United States.
Source: Frontiers in pain research (Lausanne, Switzerland) [Front Pain Res (Lausanne)] 2025 Jul 09; Vol. 6, pp. 1654743. Date of Electronic Publication: 2025 Jul 09 (Print Publication: 2025).
Publication Type: Editorial
Journal Info: Publisher: Frontiers Country of Publication: Switzerland NLM ID: 9918227269806676 Publication Model: eCollection Cited Medium: Internet ISSN: 2673-561X (Electronic) Linking ISSN: 2673561X NLM ISO Abbreviation: Front Pain Res (Lausanne) Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2673-561X
DOI:10.3389/fpain.2025.1654743