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

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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
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  Availability: 0
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PubType: Editorial & Opinion
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  Data: <searchLink fieldCode="AU" term="%22Kong+Y%22">Kong Y</searchLink>; Department of Biomedical Engineering, University of Connecticut, Storrs, CT, United States.<br /><searchLink fieldCode="AU" term="%22Fernandez+Rojas+R%22">Fernandez Rojas R</searchLink>; Human-Centred Technology Research Centre, Faculty of Science and Technology, University of Canberra, Canberra, ACT, Australia.<br /><searchLink fieldCode="AU" term="%22Posada-Quintero+HF%22">Posada-Quintero HF</searchLink>; Department of Biomedical Engineering, University of Connecticut, Storrs, CT, United States.
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  Data: <searchLink fieldCode="JN" term="%229918227269806676%22">Frontiers in pain research (Lausanne, Switzerland)</searchLink> [Front Pain Res (Lausanne)] 2025 Jul 09; Vol. 6, pp. 1654743. <i>Date of Electronic Publication: </i>2025 Jul 09 (<i>Print Publication: </i>2025).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Frontiers%22">Frontiers </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>9918227269806676 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>2673-561X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%222673561X%22">2673561X </searchLink><i>NLM ISO Abbreviation: </i>Front Pain Res (Lausanne) <i>Subsets: </i>PubMed not MEDLINE
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      – Type: doi
        Value: 10.3389/fpain.2025.1654743
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      – Code: eng
        Text: English
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        StartPage: 1654743
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      – TitleFull: Editorial: Integrating sensors and artificial intelligence for objective pain detection and quantification: unveiling new possibilities.
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            NameFull: Kong Y
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            NameFull: Fernandez Rojas R
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          Dates:
            – D: 09
              M: 07
              Text: 2025 Jul 09
              Type: published
              Y: 2025
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              Value: 6
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            – TitleFull: Frontiers in pain research (Lausanne, Switzerland)
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