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Iranian Journal of Pathology، جلد ۲۰، شماره ۳، صفحات ۲۵۷-۲۶۵
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عنوان انگلیسی Whole Slide Imaging (WSI) in Pathology: Emerging Trends and Future Applications in Clinical Diagnostics, Medical Education, and Pathology
چکیده انگلیسی مقاله 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.
کلیدواژه‌های انگلیسی مقاله Telepathology,Clinical pathology,artificial intelligence,Deep Learning,Computing Methodologies
نویسندگان مقاله Sadegh Masjoodi |
Shiraz Neuroscience Research Center, Shiraz University of Medical Sciences, Shiraz, Iran

Mohammad Hossein Anbardar |
Department of Pathology, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran

Mansoureh Shokripour |
Department of Pathology, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran

Navid Omidifar |
Department of Pathology, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran

نشانی اینترنتی https://ijp.iranpath.org/article_726165_5f36fafb5a97579530bfef500228a361.pdf
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