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Actas dermo-sifiliograficas最新文献

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PERSISTENT ERYTHEMA AND THICKENING OF THE NASAL SKIN. 持续性红斑和鼻皮肤增厚。
IF 2.8 Q1 DERMATOLOGY Pub Date : 2025-12-18 DOI: 10.1016/j.ad.2025.104580
B Rebollo Caballero, S Mallo García, B Ocaña Castillo
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引用次数: 0
A Decade of Biologic Therapy for Hidradenitis Suppurativa: What Have We Achieved? 化脓性汗腺炎生物治疗的十年:我们取得了什么成就?
IF 2.8 Q1 DERMATOLOGY Pub Date : 2025-12-18 DOI: 10.1016/j.ad.2025.104574
J Romaní
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引用次数: 0
Linezolid, an Alternative to Ertapenem in Recalcitrant Hidradenitis Suppurativa: A Series of 6 Cases. 利奈唑胺替代厄他培南治疗顽固性化脓性汗腺炎6例临床观察。
IF 2.8 Q1 DERMATOLOGY Pub Date : 2025-12-18 DOI: 10.1016/j.ad.2025.104575
T L Vega López, L Aguilar González, R P Román Cheuque, D Jiménez Gallo
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引用次数: 0
Adnexal tumours: the unconditional help of dermoscopy. 附件肿瘤:皮肤镜的无条件帮助。
IF 2.8 Q1 DERMATOLOGY Pub Date : 2025-12-18 DOI: 10.1016/j.ad.2025.104576
L M Nieto-Benito, M Garrido-Ruiz, M Huerta-Brogeras, A Tomás-Velázquez, P Redondo-Ballón
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引用次数: 0
BILATERAL HAND SWELLING AS A SIGN OF SYSTEMIC AMYLOIDOSIS. 双侧手肿胀是系统性淀粉样变的征象。
IF 2.8 Q1 DERMATOLOGY Pub Date : 2025-12-18 DOI: 10.1016/j.ad.2025.104577
M A Sirvent-Sáez, A I Sánchez-Del-Campo, D Moreno-Ramírez
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引用次数: 0
PARAMEDIAN FOREHEAD FLAP WITH INTRAOPERATIVE FRONTAL EXPANSION. 术中额部扩张的旁位前额皮瓣。
IF 2.8 Q1 DERMATOLOGY Pub Date : 2025-12-18 DOI: 10.1016/j.ad.2025.104578
D Moreno-Ramírez, A Fernández-Orland, F Vizcaíno, L Ferrándiz
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引用次数: 0
Traditional practices in Dermatology and wound care: are they evidence-based? 皮肤病学和伤口护理的传统做法:它们是基于证据的吗?
IF 2.8 Q1 DERMATOLOGY Pub Date : 2025-12-18 DOI: 10.1016/j.ad.2025.104573
A García-Mares, E Conde Montero
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引用次数: 0
Human Amniotic Membrane Grafting for the Management of Toxic Epidermal Necrolysis. 人羊膜移植治疗中毒性表皮坏死松解症。
IF 2.8 Q1 DERMATOLOGY Pub Date : 2025-12-17 DOI: 10.1016/j.ad.2025.104567
M Mansilla-Polo, P Alvedro-Ruiz, M D Pérez-Del Caz, R Botella-Estrada
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引用次数: 0
Hair graying update and review. 头发变白的更新和回顾。
IF 2.8 Q1 DERMATOLOGY Pub Date : 2025-12-17 DOI: 10.1016/j.ad.2025.104564
K Montserrat Ramirez-Gomez, A Imbernon-Moya, M F Villegas-Calzada, S Vano-Galvan, D Saceda-Corralo

Graying is a natural process, characterized by the loss of pigment in the hair, and is considered a sign of aging in society; its onset and progression is closely correlated with age and occurs to varying degrees in all individuals, regardless of gender or race. However, premature graying has a psychological and social impact, affecting patients' self-esteem. The exact etiopathogenesis is still unknown, and it has been associated with multiple factors such as: oxidative stress, ultraviolet radiation, genetic factors, and lifestyle factors such as smoking, nutritional and emotional factors. All of this causes a decrease in the production of melanin by the melanocytes of the hair bulb. Despite the extensive molecular research being carried out to understand the pathogenesis of graying, there is a shortage of effective, evidence-based treatment options. Today, graying has become a cultural phenomenon, where many people opt for cosmetic treatments to cover gray hair.

头发变白是一种自然过程,其特征是头发中色素的流失,在社会中被认为是衰老的标志;它的发生和发展与年龄密切相关,并在所有个体中不同程度地发生,无论性别或种族。然而,过早变白会产生心理和社会影响,影响患者的自尊。确切的发病机制尚不清楚,它与多种因素有关,如:氧化应激、紫外线辐射、遗传因素、生活方式因素如吸烟、营养和情绪因素。所有这些都会导致毛球的黑色素细胞产生黑色素的减少。尽管开展了广泛的分子研究来了解头发变白的发病机制,但缺乏有效的、基于证据的治疗方案。如今,头发变白已成为一种文化现象,许多人选择通过美容治疗来遮盖白发。
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引用次数: 0
Advances in Artificial Intelligence in Cosmetic Dermatology 皮肤病学基础模型:人工智能的进展。叙述性评论。
IF 2.8 Q1 DERMATOLOGY Pub Date : 2025-12-17 DOI: 10.1016/j.ad.2025.104560
D.E. Pimienta-Rosero , E.Y. Benavides-Tulcán , D.C. Fajardo-Murcia
Artificial intelligence (AI) has evolved from science fiction into a key tool in everyday life. In cosmetic dermatology, it has revolutionized skin assessment and the development of personalized treatments. Advanced algorithms enable the diagnosis of conditions, predict responses to laser therapies, and optimize dermocosmetic formulations. Mobile applications such as Skiana® and PROVEN Beauty® analyze the skin and recommend products, while clinical devices like VISIA® facilitate diagnosis. Machine learning and deep learning models enhance accuracy in detecting dermatological issues but still face challenges such as data biases and clinical validation. As AI advances, it promises to transform cosmetic dermatology with more efficient and personalized approaches.
基础模型(FMs)是一种深度学习模型,其特点是具有广泛的训练数据和对各种医疗任务的适应性,包括疾病分类、监测、风险分层和治疗计划。它们被分类为大型语言模型(llm)和以视觉为中心的fm,它们分别只处理文本或图像作为输入。另外,一些模型在视觉语言模型(VLMs)中集成了多种模式,如图像和文本,或者可以通过在大型多模式模型(lms)中集成音频、视频、基因组学和患者元数据来扩展这种多模式。FMs有望通过利用先进的人工智能功能,帮助皮肤科医生在临床环境中标准化诊断,更准确地量化疾病严重程度,个性化治疗计划,并最终改善患者的治疗效果。在这篇叙述性综述中,我们概述了生成式人工智能的主要里程碑,这些里程碑推动了以皮肤病学为重点的FMs的发展,这一领域仍在积极研究中。此外,我们总结了目前的景观和主要的医学FMs已经开发了基于图像的医学专业。最后,我们分析了该领域的潜在风险和未来发展方向,并从临床和技术角度提供了见解。
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引用次数: 0
期刊
Actas dermo-sifiliograficas
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