Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Is It Ethical to Develop AI Dermatology Tools Using LMIC Data Without Ensuring Access?
0
Zitationen
4
Autoren
2026
Jahr
Abstract
Artificial intelligence is transforming dermatology yet often relies on data from low- and middle-income countries (LMICs) without ensuring reciprocal benefits. This perspective highlights the ethical imperative to address data colonialism through equitable access, fair governance, and inclusive global partnerships.
Ähnliche Arbeiten
Dermatologist-level classification of skin cancer with deep neural networks
2017 · 13.129 Zit.
Tumor Angiogenesis: Therapeutic Implications
1971 · 10.081 Zit.
Improved Survival with Vemurafenib in Melanoma with BRAF V600E Mutation
2011 · 7.640 Zit.
Final Version of 2009 AJCC Melanoma Staging and Classification
2009 · 4.546 Zit.
Technical Details of Intraoperative Lymphatic Mapping for Early Stage Melanoma
1992 · 4.390 Zit.