A methodology for developing dermatological datasets: lessons from retrospective data collection for AI-based applications.
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| Title: | A methodology for developing dermatological datasets: lessons from retrospective data collection for AI-based applications. |
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| Authors: | Pedro A; Department of Computer Science, Escuela de Ingeniería, Pontificia Universidad Católica de Chile, Santiago, Chile. aapedro@uc.cl.; Millennium Institute for Intelligent Healthcare Engineering, Santiago, Chile. aapedro@uc.cl., Romero P; Department of Computer Science, Escuela de Ingeniería, Pontificia Universidad Católica de Chile, Santiago, Chile.; Millennium Institute for Intelligent Healthcare Engineering, Santiago, Chile., Vidaurre S; Facultad de Ingeniería, Universidad Autónoma de Chile, Santiago, Chile., Cabanas AM; Departamento de Física, Universidad de Tarapacá, Arica, Chile., Galaz A; Department of Computer Science, Escuela de Ingeniería, Pontificia Universidad Católica de Chile, Santiago, Chile., Hidalgo L; Melanoma and Skin Cancer Unit, Department of Dermatology, Escuela de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile., Carrasco K; Melanoma and Skin Cancer Unit, Department of Dermatology, Escuela de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile., Tamez-Peña JG; School of Medicine and Health Sciences, Tecnológico de Monterrey, Monterrey, Nuevo León, México., Díaz-Domínguez R; School of Medicine and Health Sciences, Tecnológico de Monterrey, Zapopan, Jalisco, México., Navarrete-Dechent C; Melanoma and Skin Cancer Unit, Department of Dermatology, Escuela de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile., Mery D; Department of Computer Science, Escuela de Ingeniería, Pontificia Universidad Católica de Chile, Santiago, Chile.; Millennium Institute for Intelligent Healthcare Engineering, Santiago, Chile. |
| Source: | BMC medical research methodology [BMC Med Res Methodol] 2025 Nov 05; Vol. 25 (1), pp. 251. Date of Electronic Publication: 2025 Nov 05. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: BioMed Central Country of Publication: England NLM ID: 100968545 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2288 (Electronic) Linking ISSN: 14712288 NLM ISO Abbreviation: BMC Med Res Methodol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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