Robert Wood Johnson Medical School, Rutgers, the State University of New Jersey, Piscataway, New Jersey, USA.
Chicago Medical School, Rosalind Franklin University, North Chicago, Illinois, USA.
Skin Res Technol. 2024 Sep;30(9):e70044. doi: 10.1111/srt.70044.
This report evaluates the potential of artificial intelligence (AI) in psychodermatology, emphasizing its ability to enhance diagnostic accuracy, treatment efficacy, and personalized care. Psychodermatology, which explores the connection between mental health and skin disorders, stands to benefit from AI's advanced data analysis and pattern recognition capabilities.
A literature search was conducted on PubMed and Google Scholar, spanning from 2004 to 2024, following PRISMA guidelines. Studies included demonstrated AI's effectiveness in predicting treatment outcomes for body dysmorphic disorder, identifying biomarkers in psoriasis and anxiety disorders, and refining therapeutic strategies.
The review identified several studies highlighting AI's role in improving treatment outcomes and diagnostic accuracy in psychodermatology. AI was effective in predicting outcomes for body dysmorphic disorder and identifying biomarkers related to psoriasis and anxiety disorders. However, challenges such as limited dermatologist knowledge, integration difficulties, and ethical concerns regarding patient privacy were noted.
AI holds significant promise for advancing psychodermatology by improving diagnostic precision, treatment effectiveness, and personalized care. Nonetheless, realizing this potential requires large-scale clinical validation, enhanced dataset diversity, and robust ethical frameworks. Future research should focus on these areas, with interdisciplinary collaboration essential for overcoming current challenges and optimizing patient care in psychodermatology.
本报告评估了人工智能（AI）在心理皮肤病学中的潜力，强调了其提高诊断准确性、治疗效果和个性化护理的能力。心理皮肤病学探索心理健康与皮肤疾病之间的联系，将受益于 AI 的先进数据分析和模式识别能力。
按照 PRISMA 指南，在 PubMed 和 Google Scholar 上进行了 2004 年至 2024 年的文献检索。纳入的研究展示了 AI 在预测躯体变形障碍治疗结果、识别银屑病和焦虑障碍生物标志物以及改进治疗策略方面的有效性。
综述确定了几项研究，强调了 AI 在改善心理皮肤病学治疗结果和诊断准确性方面的作用。AI 在预测躯体变形障碍的结果和识别与银屑病和焦虑障碍相关的生物标志物方面是有效的。然而，也注意到了一些挑战，如皮肤科医生知识有限、整合困难以及对患者隐私的伦理问题。
AI 有望通过提高诊断精度、治疗效果和个性化护理来推动心理皮肤病学的发展。然而，要实现这一潜力，需要进行大规模的临床验证、增强数据集的多样性以及稳健的伦理框架。未来的研究应集中在这些领域，跨学科合作对于克服当前挑战和优化心理皮肤病学患者护理至关重要。
