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Artificial Intelligence in Inflammatory Skin Disorders 人工智能在炎症性皮肤病中的应用
Pub Date : 2024-06-25 DOI: 10.1002/der2.243
Ghasem Rahmatpour Rokni, Nasim Gholizadeh, Mahsa Babaei, Kinnor Das, Shainee Datta

Background

The integration of artificial intelligence (AI) in dermatology is revolutionizing the diagnostic methods and management strategies and hence is uplifting the overall patient care. AI technologies have shown a significant potential in automated diagnosis, severity assessment of chronic cutaneous diseases like psoriasis, and the development of comprehensive dermatological databases is helping in swift disease detection.

Objective

This review aims to explore the current landscape and future potential of AI in inflammatory skin diseases. It focuses on various automated diagnostic systems, the role of AI in assessment and staging of chronic inflammatory dermatological conditions, and the importance of dermatological databases. The review also addresses the various challenges associated with AI implementation.

Methods

A extensive literature search was conducted from databases namely, PubMed, Google Scholar, and Embase. Search terms included combinations of “artificial intelligence,” “deep learning,” “dermatology,” “automated diagnosis,” and “dermatological databases” from different field of study. Articles were selected and reviewed based on relevance and quality, highlighting studies demonstrating AI's impact on diagnosis and management.

Results

AI-powered diagnostic systems have ominously advanced, offering noninvasive and accessible diagnostic tool(s) that use extensive datasets to improve accuracy and efficacy across different populations. The development of dermatological databases is fundamental for training of different AI models. Despite these advances, challenges related to data privacy, regulatory oversight, and inclusivity in AI models persist. Addressing these challenges is essential for augmenting and optimizing AI's potential in dermatology.

Conclusion

AI is set to transmute dermatology by augmenting diagnostic precision, customizing treatment plans, and making dermatological care more reachable, particularly in underprivileged areas. This review highlights the various advances made in AI for the diagnosis and management of inflammatory skin disorders, acknowledging the ethical and technical hurdles that need to be addressed.

背景 人工智能(AI)与皮肤病学的结合正在彻底改变诊断方法和管理策略,从而提升对患者的整体护理水平。人工智能技术在自动诊断、银屑病等慢性皮肤病的严重程度评估方面显示出巨大潜力,而综合性皮肤病数据库的开发也有助于快速检测疾病。 本综述旨在探讨人工智能在炎症性皮肤病领域的现状和未来潜力。它侧重于各种自动诊断系统、人工智能在慢性炎症性皮肤病的评估和分期中的作用以及皮肤病数据库的重要性。综述还探讨了与人工智能实施相关的各种挑战。 方法 在 PubMed、Google Scholar 和 Embase 等数据库中进行了广泛的文献检索。搜索关键词包括不同研究领域的 "人工智能"、"深度学习"、"皮肤病学"、"自动诊断 "和 "皮肤病学数据库 "的组合。根据相关性和质量对文章进行筛选和审查,重点关注能证明人工智能对诊断和管理影响的研究。 结果 人工智能驱动的诊断系统已经取得了长足的进步,提供了无创、易用的诊断工具,利用广泛的数据集提高了不同人群的准确性和有效性。皮肤病数据库的开发是训练不同人工智能模型的基础。尽管取得了这些进展,但与数据隐私、监管监督和人工智能模型的包容性有关的挑战依然存在。应对这些挑战对于增强和优化人工智能在皮肤病学领域的潜力至关重要。 结论 人工智能将通过提高诊断精确度、定制治疗方案以及使皮肤病护理更易于普及,尤其是在贫困地区,从而改变皮肤病学。本综述重点介绍了人工智能在诊断和管理炎症性皮肤病方面取得的各种进展,同时也指出了需要解决的伦理和技术障碍。
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引用次数: 0
Artificial Intelligence in Infectious Skin Disease 人工智能在传染性皮肤病中的应用
Pub Date : 2024-06-24 DOI: 10.1002/der2.241
Ghasem Rahmatpour Rokni, Nasim Gholizadeh, Mahsa Babaei, Kinnor Das

Background

Infective and infectious dermatological diseases, which range from minor diseases like impetigo to serious diseases like deep fungal infections, pose significant public health issues. Given the growth of drug-resistant microorganisms, it is critical to investigate novel techniques in dermatology. Artificial Intelligence (AI) has shown promising results in improving the diagnosis, treatment, and management of infectious skin disorders. This has the potential to significantly improve dermatological treatment by combining physician experience with data-driven insights.

Objective

This review will look into the existing uses and future possibilities of AI technologies in infectious dermatology, including machine learning and deep learning. Its goal is to highlight major advances, identify gaps in understanding and technical advancement, and recommend viable future research directions.

Methods

A comprehensive literature search of the scientific literature was performed using well-known databases such as PubMed, Google Scholar, and Embase. A specific set of phrases relevant to AI and infectious dermatology was used to ensure a thorough search. Articles were picked based on their relevance, timeliness, and quality, with a particular emphasis on research demonstrating how AI is being utilized to prevent, detect, diagnose, or manage infectious skin disorders.

Results

AI has made significant contributions to the management of infection in dermatology. It has improved diagnostic accuracy, predictive modeling of drug resistance, and individualized care regimens. Deep learning is used to evaluate clinical images, predictive models are developed to forecast antibiotic resistance, and AI-powered diagnostic tools for uncommon infections. The assessment also throws light on AI's role in pandemic preparedness and response.

背景 感染性和传染性皮肤病,小到脓疱疮,大到深部真菌感染等严重疾病,都是重大的公共卫生问题。鉴于耐药微生物的增长,研究皮肤病学的新技术至关重要。人工智能(AI)在改善感染性皮肤病的诊断、治疗和管理方面取得了可喜的成果。通过将医生的经验与数据驱动的洞察力相结合,这有可能大大改善皮肤病治疗。 本综述将探讨人工智能技术(包括机器学习和深度学习)在感染性皮肤病学中的现有用途和未来可能性。其目的是突出主要进展,找出理解和技术进步方面的差距,并推荐可行的未来研究方向。 方法 使用PubMed、Google Scholar和Embase等知名数据库对科学文献进行了全面的文献检索。为确保搜索彻底,使用了一组与人工智能和传染性皮肤病相关的特定短语。根据文章的相关性、及时性和质量进行筛选,尤其注重研究如何利用人工智能来预防、检测、诊断或管理传染性皮肤病。 研究结果 人工智能为皮肤科感染的管理做出了重大贡献。它提高了诊断准确性、耐药性预测建模和个性化护理方案。深度学习被用于评估临床图像,开发出预测抗生素耐药性的预测模型,以及针对不常见感染的人工智能诊断工具。评估还揭示了人工智能在大流行病防备和应对中的作用。
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引用次数: 0
Emerging technologies in dermatopathology 皮肤病理学的新兴技术
Pub Date : 2024-06-13 DOI: 10.1002/der2.231
Mohamad Goldust, Clay J. Cockerell

Objective

Advancements in technology have had a major impact on dermatopathology, leading to changes in diagnostic approaches and patient care. This review examines the latest developments that have significantly altered the landscape of dermatopathology.

Methods

The study uses a comprehensive literature review and analysis to examine innovative technologies that are shaping the practice of dermatopathology. Key focus areas include artificial intelligence (AI), digital pathology, advanced imaging techniques, and molecular diagnostics.

Results

The review highlights the key role of AI in optimizing diagnostic processes and improving accuracy through pattern recognition and data analysis. Digital pathology is shown to facilitate seamless collaboration, remote consultation, and enhanced accessibility to diagnostic expertise. Advanced imaging techniques enable a deeper understanding of tissue morphology and cellular structures, while molecular diagnostics offer insights into genetic and molecular alterations underlying skin diseases.

Conclusion

The integration of these cutting-edge technologies introduces a new era in dermatopathology, enabling clinicians to achieve greater precision in diagnosis and treatment selection. By using the power of AI, digital pathology, advanced imaging, and molecular diagnostics, dermatopathologists can tailor personalized treatment strategies, ultimately leading to improved patient outcomes.

目的 技术的进步对皮肤病理学产生了重大影响,导致诊断方法和患者护理发生了变化。本综述探讨了显著改变皮肤病理学格局的最新发展。 方法 本研究通过全面的文献综述和分析,研究正在塑造皮肤病理学实践的创新技术。重点领域包括人工智能(AI)、数字病理学、先进成像技术和分子诊断。 结果 综述强调了人工智能在通过模式识别和数据分析优化诊断流程和提高准确性方面的关键作用。数字病理学可促进无缝协作、远程会诊,并提高诊断专业技术的可及性。先进的成像技术能让人们更深入地了解组织形态和细胞结构,而分子诊断则能让人们深入了解皮肤病的基因和分子变化。 结论 这些尖端技术的整合为皮肤病理学开创了一个新时代,使临床医生能够更精确地诊断和选择治疗方法。通过利用人工智能、数字病理学、先进成像和分子诊断的力量,皮肤病理学家可以定制个性化的治疗策略,最终改善患者的预后。
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引用次数: 0
Sunscreens—Where are we now? 防晒霜--我们现在在哪里?
Pub Date : 2024-05-29 DOI: 10.1002/der2.230
David X. Gao, Henry W. Lim, Tasneem F. Mohammad

Introduction

Sunscreen serves as an important method for photoprotection, with strong evidence in minimizing photoaging, photocarcinogenesis, photodermatoses, and pigmentary disorders.

Objective

This review explores the legislative status of ultraviolet filters, their mechanisms of action in photoprotection, impact on human health and the environment, secondary photoprotection, and upcoming developments in photoprotection.

Methods

A narrative review of recently published literature was conducted.

Results

Various studies have raised concerns about the impact of sunscreens on the environment and personal health. Further studies are needed in particular to characterize sunscreens' impact on human health. Multiple novel forms of photoprotection are emerging to complement traditional forms of photoprotection.

Conclusions

While the sunscreen market in the US has remained stagnant, innovations in other avenues of photoprotection are emerging.

引言 防晒霜是一种重要的光保护方法,在减少光老化、光致癌、光性皮肤病和色素性疾病方面有着强有力的证据。 本综述探讨了紫外线滤光片的立法现状、其在光防护中的作用机制、对人类健康和环境的影响、二次光防护以及光防护领域的未来发展。 方法 对最近发表的文献进行了叙述性综述。 结果 各种研究都对防晒霜对环境和个人健康的影响表示担忧。尤其需要进一步研究防晒霜对人体健康的影响。正在出现多种新型光保护方式来补充传统的光保护方式。 结论 虽然美国的防晒霜市场一直停滞不前,但其他光保护途径的创新正在出现。
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引用次数: 0
Superficial radiation therapy in dermatology: A historical perspective 皮肤科的表层放射治疗:历史视角
Pub Date : 2024-05-29 DOI: 10.1002/der2.229
Vishnu Bhupalam, John D. Hetzel, Nardin Awad, Mark S. Nestor

Background

Nonmelanoma skin cancers (NMSCs), such as basal cell carcinoma (BCC) and squamous cell carcinoma (SCC), are the most commonly diagnosed type of cancer in the United States, and the incidence of NMSC is increasing. Though surgical excision and Mohs micrographic surgery remain definitive treatments for NMSC, the majority of affected patients are advanced in age and may have relative contraindications to surgery or preferences against it. As such, there is growing value in exploring less-invasive alternative techniques, such as superficial radiation therapy (SRT). Historically, in the decades following its inception just over a century ago, the field of SRT experienced a boom of innovations that provided the basis for treatment modalities used by dermatologists today.

Aims

This paper outlines the history and evolution of SRT in dermatology and discusses SRT's modern role as an alternative to surgical management of NMSC in select patients.

Conclusion

Although a combination of aging equipment and shifts in interest toward surgical methods diminished the prominence of radiation therapy (RT) in the late 20th century, newer iterations of SRT technology have drawn renewed interest as a nonsurgical extremely effective treatment for NMSC. A brief comparison of key clinical and practical factors indicates that SRT is the optimal choice of RT technique for the definitive management of select NMSCs in patients.

背景 非黑色素瘤皮肤癌(NMSC),如基底细胞癌(BCC)和鳞状细胞癌(SCC),是美国最常诊断出的癌症类型,而且非黑色素瘤皮肤癌的发病率正在上升。虽然手术切除和莫氏显微手术仍是治疗 NMSC 的明确方法,但大多数患者年龄较大,可能有手术禁忌症或反对手术。因此,探索表层放射治疗 (SRT) 等微创替代技术的价值日益凸显。从历史上看,SRT 在一个多世纪前诞生后的几十年中经历了蓬勃发展的创新时期,为皮肤科医生今天使用的治疗模式奠定了基础。 目的 本文概述了 SRT 在皮肤病学中的历史和演变,并讨论了 SRT 作为手术治疗 NMSC 的替代方法在特定患者中的现代作用。 结论 尽管设备老化和人们对手术方法的兴趣转移在 20 世纪末削弱了放射治疗 (RT) 的重要性,但 SRT 技术的更新迭代再次引起了人们的兴趣,成为治疗 NMSC 的一种极为有效的非手术疗法。对关键临床和实用因素的简要比较表明,SRT 是最终治疗特定 NMSC 患者的最佳 RT 技术选择。
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引用次数: 0
Guest Editor's Introduction: Infectious diseases of the skin 特邀编辑简介:皮肤感染性疾病
Pub Date : 2024-04-19 DOI: 10.1002/der2.228
Stephen K. Tyring
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引用次数: 0
Dermatological Reviews: Intectious disease update 皮肤病学评论:传染性疾病更新
Pub Date : 2024-02-27 DOI: 10.1002/der2.226
Michael H. Gold
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引用次数: 0
Viral diseases affecting the skin 影响皮肤的病毒性疾病
Pub Date : 2024-02-15 DOI: 10.1002/der2.225
Chelsea M. Gerlicki

This chapter delves into the complex world of viral exanthems, focusing on their diagnostic challenges and distinctive features, with updated presentations and pearls. From Roseola Infantum's atypical fever-rash presentation to Rubeola's resurgence, it underscores the importance of prompt diagnosis. Rubella, frequently confused with measles, demands heightened suspicion, especially in adults and pregnant patients. Hand, Foot, and Mouth Disease's diverse manifestations warrant accurate differentiation. The discussion extends to Parvovirus B19, Varicella-Zoster Virus, Epstein-Barr Virus, and HIV Primary Infection. The resurgence of Mpox, Zika Virus's risks during pregnancy, and the rare but life-threatening Eczema Herpeticum are explored. Gianotti-Crosti Syndrome, Unilateral Laterothoracic Exanthem, and other viral conditions complete the landscape. In summary, this chapter offers a comprehensive understanding of viral exanthems, enabling clinicians to distinguish and manage these dermatological challenges. Accurate identification is crucial for providing specialized therapy to a minority of cases and supportive care to the majority. Vigilance, thorough examination, and a nuanced understanding of viral presentations are essential in navigating this intricate landscape.

本章深入探讨了病毒性外感病的复杂世界,重点关注其诊断难题和独特特征,并提供了最新的病例介绍和要点。从婴儿玫瑰疹的非典型发热皮疹表现到鲁贝拉疹的死灰复燃,本章强调了及时诊断的重要性。风疹经常与麻疹混淆,需要高度怀疑,尤其是成人和孕妇。手足口病的表现多种多样,需要准确区分。讨论还延伸到 parvovirus B19、水痘-带状疱疹病毒、Epstein-Barr 病毒和 HIV 原发感染。此外,还探讨了痘疹的复发、寨卡病毒在怀孕期间的风险以及罕见但危及生命的带状疱疹湿疹。Gianotti-Crosti 综合征、单侧后胸腔积液和其他病毒性疾病也在本章中一一介绍。总之,本章全面介绍了病毒性外皮癣,使临床医生能够区分和处理这些皮肤病难题。准确的鉴别对于为少数病例提供专业治疗和为多数病例提供支持性护理至关重要。提高警惕、全面检查以及对病毒表现的细致了解对于驾驭这种错综复杂的疾病至关重要。
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引用次数: 0
A clinical update on fungal disease of human skin 人体皮肤真菌病的临床最新进展
Pub Date : 2024-02-07 DOI: 10.1002/der2.224
Kevin M. Burningham, Juliana H. Kim, Alisha Kashyap, Stephen K. Tyring

Fungi cause cutaneous pathology in humans in three broad categories: superficial mycoses, subcutaneous mycoses, and systemic or opportunistic mycoses. In this chapter, we will discuss recent updates in treatment for dermatological diagnoses in each of these categories. We will also discuss dermatologically relevant emerging fungal pathogens.

真菌引起的人体皮肤病变可分为三大类:表皮真菌病、皮下真菌病和全身性或机会性真菌病。在本章中,我们将讨论皮肤病诊断中每一类真菌的最新治疗方法。我们还将讨论与皮肤病相关的新出现的真菌病原体。
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引用次数: 0
Dermatological reviews—Introduction: Cosmeceuticals I 皮肤病学评论--简介:药妆 I
Pub Date : 2023-12-20 DOI: 10.1002/der2.223
Michael H. Gold
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引用次数: 0
期刊
Dermatological Reviews
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