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October 2, 2025Frontiers in Medicine4 citationsOpen Access

Navigating the AI tide: challenges, opportunities, and future directions for early-career dermatologists

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MZMeng ZhangRCRuiqing ChuCLChunmei Liu

Key Points

  • AI demonstrates diagnostic accuracy comparable to dermatologists, improving detection rates for conditions like melanoma.
  • In multicenter trials, AI outperformed early-career dermatologists by 15–20% in accuracy, indicating a significant training gap.
  • The review proposes a competency-based framework for integrating AI literacy into dermatology training and clinical workflows.
  • Strengthening skills in decision-making and patient communication is essential for early-career dermatologists in an AI-integrated future.

Abstract

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.

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Cite This Study

Zhang et al. (2025) studied this question.

synapsesocial.com/papers/68de6f3183cbc991d0a21f74https://doi.org/10.3389/fmed.2025.1684035
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