Whole Slide Imaging (WSI) in Pathology: Emerging Trends and Future Applications in Clinical Diagnostics, Medical Education, and Pathology.

Q3 Medicine

Iranian Journal of Pathology Pub Date : 2025-01-01 Epub Date: 2025-07-01 DOI:10.30699/ijp.2025.2044210.3367

Sadegh Masjoodi, Mohammad Hossein Anbardar, Mansoureh Shokripour, Navid Omidifar

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引用次数: 0

Abstract

Background & objective: Whole Slide Imaging (WSI) has emerged as a transformative technology in the fields of clinical diagnostics, medical education, and pathology research. By digitizing entire glass slides into high-resolution images, WSI enables advanced remote collaboration, the integration of artificial intelligence (AI) into diagnostic workflows, and facilitates large-scale data sharing for multi-center research.

Methods: This paper explores the growing applications of WSI, focusing on its impact on diagnostics through telepathology, AI-powered diagnoses and precision medicine, and educational advancements. In this report, we will highlight the profound impact of WSI and address the challenges that must be overcome to enable its broader adoption.

Results & conclusion: Despite its many advantages, challenges such as infrastructure limitations and regulatory issues need to be addressed for broader adoption. The future of WSI lies in its ability to integrate with cloud-based platforms and big data analytics, continuing to drive the digital transformation of pathology.

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病理全切片成像（WSI）：临床诊断、医学教育和病理学的新趋势和未来应用。

背景与目的：全切片成像（WSI）已经成为临床诊断、医学教育和病理研究领域的一项变革性技术。通过将整个玻片数字化为高分辨率图像，WSI实现了先进的远程协作，将人工智能（AI）集成到诊断工作流程中，并促进了多中心研究的大规模数据共享。方法：本文探讨了WSI日益增长的应用，重点关注其在远程病理学、人工智能诊断和精准医学以及教育进步方面对诊断的影响。在本报告中，我们将强调WSI的深远影响，并解决必须克服的挑战，以使其得到更广泛的采用。结果与结论：尽管它有许多优势，但为了更广泛的采用，需要解决基础设施限制和监管问题等挑战。WSI的未来在于其与云平台和大数据分析的整合能力，继续推动病理学的数字化转型。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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