Perspectives on Artificial Intelligence in Dermatology: An International Cross-Sectional Study
Emmanouil Karampinis; Christina-Marina Zoumpourli; Aimilios Lallas; Zoé Apalla; John Paoli; Bengü Nisa Akay; Cristián Navarette-Dechent; Behera Biswanath · 2026 · Medicina
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
Background and Objectives: Artificial intelligence (AI) has transitioned to an integral part of dermatology in only few years, yet perceptions of its use vary widely, reflecting diverse hopes, concerns, and perceived clinical utility. Materials and Methods: In this study, 300 dermatologists from 13 countries, representing a range of experience levels and AI usage statuses, were surveyed regarding the characteristics and applications of AI in dermatology. Results: Among respondents, 61.33% reported having used AI tools in clinical practice. Adoption of AI was observed across all age groups, cou
Abstract by Emmanouil Karampinis; Christina-Marina Zoumpourli; Aimilios Lallas; Zoé Apalla; John Paoli; Bengü Nisa Akay; Cristián Navarette-Dechent; Behera Biswanath, Medicina (2026) — licensed CC BY 4.0.
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Metadata source: OpenAlex · DOI 10.3390/medicina62040759
