Mediprobe Research Inc., London, Canada.
Division of Dermatology, Department of Medicine, University of Toronto School of Medicine, Toronto, Canada.
Dermatol Ther. 2021 Mar;34(2):e14811. doi: 10.1111/dth.14811. Epub 2021 Feb 22.
Artificial intelligence (AI) applications in medicine are rapidly evolving. Deep learning diagnostic models that can accurately classify skin lesions have been developed. New AI applications are also starting to emerge in the hair restoration field. The objective was to review the current and future clinical applications of AI in hair restoration and hair disorder diagnosis. Current AI applications in hair restoration include fully automated systems for hair detection and hair growth measurement. New deep learning-based systems have been proposed for scalp diagnosis and automated hair loss measurements, including devices that can be used for self-diagnosis. Hair restoration experts should recognize the potential benefits and limitations of these emerging technologies as they become more readily available to both clinicians and patients.
人工智能（AI）在医学中的应用正在迅速发展。已经开发出可以准确分类皮肤病变的深度学习诊断模型。新的 AI 应用也开始在毛发修复领域出现。目的是回顾 AI 在毛发修复和毛发疾病诊断中的当前和未来临床应用。目前在毛发修复中的 AI 应用包括用于头发检测和头发生长测量的全自动系统。已经提出了新的基于深度学习的系统用于头皮诊断和自动脱发测量，包括可用于自我诊断的设备。随着这些新技术越来越容易为临床医生和患者所获得，毛发修复专家应该认识到这些新兴技术的潜在好处和局限性。
