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Development and validation of an artificial intelligence model for basal cell carcinoma detection and section completeness assessment in Mohs micrographic surgery in an Asian cohort.

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Title: Development and validation of an artificial intelligence model for basal cell carcinoma detection and section completeness assessment in Mohs micrographic surgery in an Asian cohort.
Authors: Loo LY; Department of Dermatology, Singapore General Hospital, Singapore., Luo WB; Department of Anatomical Pathology, Singapore General Hospital, Singapore., Hong-Kei Lam I; Department of Anatomical Pathology, Singapore General Hospital, Singapore., Heng SY; Department of Anatomical Pathology, Singapore General Hospital, Singapore., Cheo FF; Department of Anatomical Pathology, Singapore General Hospital, Singapore.; Duke-National University of Singapore Academic Medical Centre, Singapore., Huang J; AI Singapore (ex-AI Apprenticeship Programme), Singapore., Song SW; AI Singapore (ex-AI Apprenticeship Programme), Singapore., Yeoh T; AI Singapore (ex-AI Apprenticeship Programme), Singapore., Feng FX; AI Singapore, Singapore., Baharudin SN; AI Singapore, Singapore., Khor LY; Department of Anatomical Pathology, Singapore General Hospital, Singapore.; Duke-National University of Singapore Academic Medical Centre, Singapore., Cheng CL; Department of Anatomical Pathology, Singapore General Hospital, Singapore.; Duke-National University of Singapore Academic Medical Centre, Singapore., Tang PY; Department of Anatomical Pathology, Singapore General Hospital, Singapore.; Duke-National University of Singapore Academic Medical Centre, Singapore., Oh CC; Department of Dermatology, Singapore General Hospital, Singapore.; Duke-National University of Singapore Academic Medical Centre, Singapore.
Source: JAAD international [JAAD Int] 2026 Sep 04; Vol. 29, pp. 15-24. Date of Electronic Publication: 2026 Sep 04 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Inc Country of Publication: United States NLM ID: 101774762 Publication Model: eCollection Cited Medium: Internet ISSN: 2666-3287 (Electronic) Linking ISSN: 26663287 NLM ISO Abbreviation: JAAD Int Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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PubType: Academic Journal
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  Data: Development and validation of an artificial intelligence model for basal cell carcinoma detection and section completeness assessment in Mohs micrographic surgery in an Asian cohort.
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  Data: <searchLink fieldCode="AU" term="%22Loo+LY%22">Loo LY</searchLink>; Department of Dermatology, Singapore General Hospital, Singapore.<br /><searchLink fieldCode="AU" term="%22Luo+WB%22">Luo WB</searchLink>; Department of Anatomical Pathology, Singapore General Hospital, Singapore.<br /><searchLink fieldCode="AU" term="%22Hong-Kei+Lam+I%22">Hong-Kei Lam I</searchLink>; Department of Anatomical Pathology, Singapore General Hospital, Singapore.<br /><searchLink fieldCode="AU" term="%22Heng+SY%22">Heng SY</searchLink>; Department of Anatomical Pathology, Singapore General Hospital, Singapore.<br /><searchLink fieldCode="AU" term="%22Cheo+FF%22">Cheo FF</searchLink>; Department of Anatomical Pathology, Singapore General Hospital, Singapore.; Duke-National University of Singapore Academic Medical Centre, Singapore.<br /><searchLink fieldCode="AU" term="%22Huang+J%22">Huang J</searchLink>; AI Singapore (ex-AI Apprenticeship Programme), Singapore.<br /><searchLink fieldCode="AU" term="%22Song+SW%22">Song SW</searchLink>; AI Singapore (ex-AI Apprenticeship Programme), Singapore.<br /><searchLink fieldCode="AU" term="%22Yeoh+T%22">Yeoh T</searchLink>; AI Singapore (ex-AI Apprenticeship Programme), Singapore.<br /><searchLink fieldCode="AU" term="%22Feng+FX%22">Feng FX</searchLink>; AI Singapore, Singapore.<br /><searchLink fieldCode="AU" term="%22Baharudin+SN%22">Baharudin SN</searchLink>; AI Singapore, Singapore.<br /><searchLink fieldCode="AU" term="%22Khor+LY%22">Khor LY</searchLink>; Department of Anatomical Pathology, Singapore General Hospital, Singapore.; Duke-National University of Singapore Academic Medical Centre, Singapore.<br /><searchLink fieldCode="AU" term="%22Cheng+CL%22">Cheng CL</searchLink>; Department of Anatomical Pathology, Singapore General Hospital, Singapore.; Duke-National University of Singapore Academic Medical Centre, Singapore.<br /><searchLink fieldCode="AU" term="%22Tang+PY%22">Tang PY</searchLink>; Department of Anatomical Pathology, Singapore General Hospital, Singapore.; Duke-National University of Singapore Academic Medical Centre, Singapore.<br /><searchLink fieldCode="AU" term="%22Oh+CC%22">Oh CC</searchLink>; Department of Dermatology, Singapore General Hospital, Singapore.; Duke-National University of Singapore Academic Medical Centre, Singapore.
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  Data: <searchLink fieldCode="JN" term="%22101774762%22">JAAD international</searchLink> [JAAD Int] 2026 Sep 04; Vol. 29, pp. 15-24. <i>Date of Electronic Publication: </i>2026 Sep 04 (<i>Print Publication: </i>2026).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier+Inc%22">Elsevier Inc </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101774762 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>2666-3287 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2226663287%22">26663287 </searchLink><i>NLM ISO Abbreviation: </i>JAAD Int <i>Subsets: </i>PubMed not MEDLINE
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      – Type: doi
        Value: 10.1016/j.jdin.2026.08.010
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      – Code: eng
        Text: English
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      – TitleFull: Development and validation of an artificial intelligence model for basal cell carcinoma detection and section completeness assessment in Mohs micrographic surgery in an Asian cohort.
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            – D: 04
              M: 09
              Text: 2026 Sep 04
              Type: published
              Y: 2026
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