皮肤病理学的新兴技术

Mohamad Goldust, Clay J. Cockerell
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引用次数: 0

摘要

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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Emerging technologies in dermatopathology

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.

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