Assessing Clinician Consistency in Wound Tissue Classification and the Value of AI-Assisted Quantification: A Cross-Sectional Study.
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| Title: | Assessing Clinician Consistency in Wound Tissue Classification and the Value of AI-Assisted Quantification: A Cross-Sectional Study. |
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| Authors: | Mohammed HT; Swift Medical Inc, Toronto, Ontario, Canada., Bestavros S; Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada., Mohsen S; Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada., Liu Z; Swift Medical Inc, Toronto, Ontario, Canada., Wang S; Swift Medical Inc, Toronto, Ontario, Canada.; Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.; Department of Dermatology, Women's College Hospital, Toronto, Ontario, Canada., Allport J; Swift Medical Inc, Toronto, Ontario, Canada., Cassata A; Swift Medical Inc, Toronto, Ontario, Canada., Fraser RDJ; Swift Medical Inc, Toronto, Ontario, Canada.; Western University, London, Ontario, Canada. |
| Source: | International wound journal [Int Wound J] 2025 Jun; Vol. 22 (6), pp. e70691. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Blackwell Pub Country of Publication: England NLM ID: 101230907 Publication Model: Print Cited Medium: Internet ISSN: 1742-481X (Electronic) Linking ISSN: 17424801 NLM ISO Abbreviation: Int Wound J Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1742-481X |
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| DOI: | 10.1111/iwj.70691 |
