Journal Article

Perspectives on Artificial Intelligence in Dermatology: An International Cross-Sectional Study

Sgouros, Dimitrios, Enechukwu, Nkechi, Zoumpourli, Christina-Marina, Akay, Bengü Nisa, Katoulis, Alexander, Apalla, Zoe, Liu, Jie, Karampinis, Emmanouil, Errichetti, Enzo, Toli, Olga, Chai, Peter, Lallas, Aimilios, Navarette-Dechent, Cristian, Paoli, John, Biswanath, Behera, Tzermias, Christofer, Pietkiewicz, Paweł, Kontogianni, Christina

2026

Overview

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, countries, and experience levels. Analysis of the types of AI tools used revealed a strong reliance on general-purpose large language models (LLMs), with chatbots being the most frequently cited category, utilized by 58.15% of users. Younger clinicians demonstrated a significant preference for chatbots (p < 0.05). Country-specific patterns in AI adoption were also noted. The most highly rated expected benefit of AI in dermatology was improved diagnostic accuracy, while the primary concern centered on regulatory and ethical limitations, suggesting that the “AI revolution” in dermatology is currently constrained less by technical barriers and more by regulation considerations. Use of consent forms when AI use takes place was more frequently reported as mandatory by dermatologists who had never used AI, reflecting heightened caution among non-users (p = 0.03). Additionally, 75% of respondents agreed that formal training in AI is necessary, highlighting a significant gap in traditional medical education regarding emerging technologies.

• Publisher: MDPI AG,Multidisciplinary Digital Publishing Institute (MDPI)
• Subject: Accuracy / Adult / AI in medicine / Artificial intelligence / Artificial Intelligence - standards / Artificial Intelligence - statistics & numerical data / Artificial Intelligence - trends / Bibliometrics / Biopsy / Chatbots / Collaboration / Communication / Cross-Sectional Studies / Decision making / Dermatologists / Dermatologists - psychology / Dermatology / Dermatology - methods / Dermatology - trends / FDA approval / Female / Generative artificial intelligence / Health aspects / Humans / Internet access / Machine learning / Male / Medical diagnosis / Middle Aged / multi-country / perspectives / Practice / Skin cancer / Surveys / Surveys and Questionnaires / Technology adoption / Technology application / Trends