Three-Dimensional Total Body Photography Enables Automated Obesity-Related Comorbidity Screening in Dermatology.

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Bibliographic Details
Title: Three-Dimensional Total Body Photography Enables Automated Obesity-Related Comorbidity Screening in Dermatology.
Authors: Susanto A; Frazer Institute, Dermatology Research Centre, The University of Queensland, Brisbane, Australia., Kahler S; Frazer Institute, Dermatology Research Centre, The University of Queensland, Brisbane, Australia; Department of Dermatology, Princess Alexandra Hospital, Brisbane, Australia., Dulanjala Sewwandi MAN; Frazer Institute, Dermatology Research Centre, The University of Queensland, Brisbane, Australia., Mothershaw A; Frazer Institute, Dermatology Research Centre, The University of Queensland, Brisbane, Australia., Goldinger SM; Frazer Institute, Dermatology Research Centre, The University of Queensland, Brisbane, Australia; Faculty of Medicine, University of Zurich, Zurich, Switzerland., Mar V; Victorian Melanoma Service, Alfred Hospital, Melbourne, Australia; School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia., Janda M; Frazer Institute, Dermatology Research Centre, The University of Queensland, Brisbane, Australia., Soyer HP; Frazer Institute, Dermatology Research Centre, The University of Queensland, Brisbane, Australia; Department of Dermatology, Princess Alexandra Hospital, Brisbane, Australia., Primiero C; Frazer Institute, Dermatology Research Centre, The University of Queensland, Brisbane, Australia. Electronic address: c.bover@uq.edu.au.
Source: The Journal of investigative dermatology [J Invest Dermatol] 2026 Mar; Vol. 146 (3), pp. 855-858. Date of Electronic Publication: 2025 Sep 10.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 0426720 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1523-1747 (Electronic) Linking ISSN: 0022202X NLM ISO Abbreviation: J Invest Dermatol Subsets: MEDLINE; In Process
Database: MEDLINE Ultimate
Description
ISSN:1523-1747
DOI:10.1016/j.jid.2025.09.001