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Digital pathology and artificial intelligence as the next chapter in diagnostic hematopathology.数字病理学与人工智能作为诊断血液病理学的新篇章。
Semin Diagn Pathol. 2023 Mar;40(2):88-94. doi: 10.1053/j.semdp.2023.02.001. Epub 2023 Feb 15.
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Biomol Biomed. 2023 Mar 16;23(2):225-234. doi: 10.17305/bjbms.2022.8318.
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Jpn J Radiol. 2023 Mar;41(3):235-244. doi: 10.1007/s11604-022-01359-x. Epub 2022 Nov 9.
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Artificial intelligence in histopathology: enhancing cancer research and clinical oncology.人工智能在组织病理学中的应用:增强癌症研究和临床肿瘤学。
Nat Cancer. 2022 Sep;3(9):1026-1038. doi: 10.1038/s43018-022-00436-4. Epub 2022 Sep 22.
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Global research trends and foci of artificial intelligence-based tumor pathology: a scientometric study.基于人工智能的肿瘤病理学的全球研究趋势和重点:一项科学计量学研究。
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Clin Chem. 2021 Dec 30;68(1):125-133. doi: 10.1093/clinchem/hvab239.

数字病理学:变革数字时代的诊断方式。

Digital Pathology: Transforming Diagnosis in the Digital Age.

作者信息

Kiran Nfn, Sapna Fnu, Kiran Fnu, Kumar Deepak, Raja Fnu, Shiwlani Sheena, Paladini Antonella, Sonam Fnu, Bendari Ahmed, Perkash Raja Sandeep, Anjali Fnu, Varrassi Giustino

机构信息

Pathology and Laboratory Medicine, Staten Island University Hospital, New York, USA.

Pathology and Laboratory Medicine, Albert Einstein College of Medicine, New York, USA.

出版信息

Cureus. 2023 Sep 3;15(9):e44620. doi: 10.7759/cureus.44620. eCollection 2023 Sep.

DOI:10.7759/cureus.44620
PMID:37799211
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10547926/
Abstract

In the context of rapid technological advancements, the narrative review titled "Digital Pathology: Transforming Diagnosis in the Digital Age" explores the significant impact of digital pathology in reshaping diagnostic approaches. This review delves into the various effects of the field, including remote consultations and artificial intelligence (AI)-assisted analysis, revealing the ongoing transformation taking place. The investigation explores the process of digitizing traditional glass slides, which aims to improve accessibility and facilitate sharing. Additionally, it addresses the complexities associated with data security and standardization challenges. Incorporating AI enhances pathologists' diagnostic capabilities and accelerates analytical procedures. Furthermore, the review highlights the growing importance of collaborative networks facilitating global knowledge sharing. It also emphasizes the significant impact of this technology on medical education and patient care. This narrative review aims to provide an overview of digital pathology's transformative and innovative potential, highlighting its disruptive nature in reshaping diagnostic practices.

摘要

在技术快速发展的背景下,题为《数字病理学:改变数字时代的诊断》的叙述性综述探讨了数字病理学在重塑诊断方法方面的重大影响。该综述深入研究了该领域的各种影响,包括远程会诊和人工智能(AI)辅助分析,揭示了正在发生的变革。调查探讨了传统玻璃切片数字化的过程,其目的是提高可及性并促进共享。此外,它还解决了与数据安全和标准化挑战相关的复杂性。引入人工智能增强了病理学家的诊断能力并加速了分析程序。此外,该综述强调了促进全球知识共享的协作网络日益重要。它还强调了这项技术对医学教育和患者护理的重大影响。这篇叙述性综述旨在概述数字病理学的变革性和创新潜力,突出其在重塑诊断实践方面的颠覆性本质。