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MINI REVIEW article

Front. Med.

Sec. Dermatology

Volume 12 - 2025 | doi: 10.3389/fmed.2025.1684035

Navigating the AI Tide: Challenges, Opportunities, and Future Directions for Early-Career Dermatologists

Provisionally accepted
Meng  ZHANGMeng ZHANGRuiqi  ChuRuiqi ChuChunmei  LiuChunmei LiuShengni  ZhangShengni ZhangXiangxiang  RenXiangxiang Ren*
  • Affiliated Hospital of Hebei University, Baoding, China

The final, formatted version of the article will be published soon.

Artificial intelligence (AI) has demonstrated diagnostic accuracy comparable to dermatologists in specific tasks (e.g., 92.5% vs. 86.6% for melanoma detection in multicenter trials), while significantly outperforming early-career physicians (15-20% higher accuracy in meta-analyses). This review synthesizes evidence on AI's transformative impact on dermatology training and practice, addressing critical gaps in ethical frameworks and implementation strategies. We propose a competency-based framework for "AI-augmented dermatology," advocating for curriculum integration of AI literacy modules, standardized human-AI workflows, and proactive engagement in regulatory processes. Early-career dermatologists must leverage AI as a safety net while strengthening irreplaceable skills in complex decision-making and patient communication to lead dermatology's AI-integrated future.

Keywords: Artificial intelligence (AI), Dermatologic diagnosis, Early-Career Dermatologists, human-AI collaboration, Ethical and legal challenges

Received: 12 Aug 2025; Accepted: 19 Sep 2025.

Copyright: © 2025 ZHANG, Chu, Liu, Zhang and Ren. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Xiangxiang Ren, 15369312891@163.com

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