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Leveraging the potential of 3D total body photography: a data-driven tool for quality improvement and clinical research.

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Title: Leveraging the potential of 3D total body photography: a data-driven tool for quality improvement and clinical research.
Authors: Rios-Duarte JA; Department of Dermatology, Mayo Clinic, Rochester, MN, USA., Cull DB; Department of Dermatology, Mayo Clinic, Rochester, MN, USA., Hardway HD; Department of Dermatology, Mayo Clinic, Rochester, MN, USA.; Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, MN, USA.; Dermatology Digital Health, Artificial Intelligence and Innovations Program, Mayo Clinic, Rochester, MN, USA., Comfere NI; Department of Dermatology, Mayo Clinic, Rochester, MN, USA.; Department of Laboratory Medicine & Pathology, Mayo Clinic, Rochester, MN, USA.; Dermatology Digital Health, Artificial Intelligence and Innovations Program, Mayo Clinic, Rochester, MN, USA., Link JL; Department of Dermatology, Mayo Clinic, Rochester, MN, USA., Vidal NY; Division of Dermatologic Surgery, Department of Dermatology, Mayo Clinic, 200 First St SW, Rochester, MN, 55904, USA.; Dermatology Digital Health, Artificial Intelligence and Innovations Program, Mayo Clinic, Rochester, MN, USA., Demer AM; Division of Dermatologic Surgery, Department of Dermatology, Mayo Clinic, 200 First St SW, Rochester, MN, 55904, USA. demer.addison@mayo.edu.; Dermatology Digital Health, Artificial Intelligence and Innovations Program, Mayo Clinic, Rochester, MN, USA. demer.addison@mayo.edu.
Source: Archives of dermatological research [Arch Dermatol Res] 2024 Sep 26; Vol. 316 (9), pp. 638. Date of Electronic Publication: 2024 Sep 26.
Publication Type: Letter
Journal Info: Publisher: Springer Verlag Country of Publication: Germany NLM ID: 8000462 Publication Model: Electronic Cited Medium: Internet ISSN: 1432-069X (Electronic) Linking ISSN: 03403696 NLM ISO Abbreviation: Arch Dermatol Res Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Rios-Duarte+JA%22">Rios-Duarte JA</searchLink>; Department of Dermatology, Mayo Clinic, Rochester, MN, USA.<br /><searchLink fieldCode="AU" term="%22Cull+DB%22">Cull DB</searchLink>; Department of Dermatology, Mayo Clinic, Rochester, MN, USA.<br /><searchLink fieldCode="AU" term="%22Hardway+HD%22">Hardway HD</searchLink>; Department of Dermatology, Mayo Clinic, Rochester, MN, USA.; Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, MN, USA.; Dermatology Digital Health, Artificial Intelligence and Innovations Program, Mayo Clinic, Rochester, MN, USA.<br /><searchLink fieldCode="AU" term="%22Comfere+NI%22">Comfere NI</searchLink>; Department of Dermatology, Mayo Clinic, Rochester, MN, USA.; Department of Laboratory Medicine & Pathology, Mayo Clinic, Rochester, MN, USA.; Dermatology Digital Health, Artificial Intelligence and Innovations Program, Mayo Clinic, Rochester, MN, USA.<br /><searchLink fieldCode="AU" term="%22Link+JL%22">Link JL</searchLink>; Department of Dermatology, Mayo Clinic, Rochester, MN, USA.<br /><searchLink fieldCode="AU" term="%22Vidal+NY%22">Vidal NY</searchLink>; Division of Dermatologic Surgery, Department of Dermatology, Mayo Clinic, 200 First St SW, Rochester, MN, 55904, USA.; Dermatology Digital Health, Artificial Intelligence and Innovations Program, Mayo Clinic, Rochester, MN, USA.<br /><searchLink fieldCode="AU" term="%22Demer+AM%22">Demer AM</searchLink>; Division of Dermatologic Surgery, Department of Dermatology, Mayo Clinic, 200 First St SW, Rochester, MN, 55904, USA. demer.addison@mayo.edu.; Dermatology Digital Health, Artificial Intelligence and Innovations Program, Mayo Clinic, Rochester, MN, USA. demer.addison@mayo.edu.
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