Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Equity and Generalizability of Artificial Intelligence for Skin-Lesion Diagnosis Using Clinical, Dermoscopic, and Smartphone Images: A Systematic Review and Meta-Analysis
3
Zitationen
2
Autoren
2025
Jahr
Abstract
: AI-based dermatology systems achieve high diagnostic accuracy but demonstrate reduced performance in darker skin tones and non-specialist environments. These findings emphasize the need for diverse training datasets, skin-tone-stratified reporting, and rigorous external validation before broad clinical deployment.
Ähnliche Arbeiten
Dermatologist-level classification of skin cancer with deep neural networks
2017 · 13.533 Zit.
Tumor Angiogenesis: Therapeutic Implications
1971 · 10.118 Zit.
Improved Survival with Vemurafenib in Melanoma with BRAF V600E Mutation
2011 · 7.678 Zit.
Pembrolizumab versus Ipilimumab in Advanced Melanoma
2015 · 5.814 Zit.
Overall Survival with Combined Nivolumab and Ipilimumab in Advanced Melanoma
2017 · 5.365 Zit.