背景:本报告评估了人工智能(AI)在心理皮肤病学中的潜力,强调其提高诊断准确性的能力,治疗功效,个性化护理。精神病学,探讨了心理健康和皮肤病之间的联系,将受益于AI先进的数据分析和模式识别功能。
方法:在PubMed和GoogleScholar上进行了文献检索,从2004年到2024年,遵循PRISMA指南。研究包括证明AI在预测身体畸形障碍治疗结果方面的有效性,识别牛皮癣和焦虑症中的生物标志物,完善治疗策略。
结果:该综述确定了几项研究强调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在预测身体畸形障碍的结果以及识别与牛皮癣和焦虑症相关的生物标志物方面是有效的。然而,挑战,如皮肤科医生知识有限,整合困难,并注意到有关患者隐私的伦理问题。
结论:人工智能通过提高诊断精度,在推进皮肤病学方面具有重要的前景。治疗效果,个性化护理。尽管如此,实现这一潜力需要大规模的临床验证,增强了数据集的多样性,和强大的道德框架。未来的研究应该集中在这些领域,与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。
BACKGROUND: 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.
METHODS: 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.
RESULTS: 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.
CONCLUSIONS: 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.