人工智能在血液淋巴诊断中的作用。

IF 3.9 2区医学 Q2 CELL BIOLOGY

Histopathology Pub Date : 2024-10-22 DOI:10.1111/his.15327

Charlotte Syrykh, Michiel van den Brand, Jakob Nikolas Kather, Camille Laurent

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引用次数: 0

摘要

数字病理学的出现和高通量分子技术的应用正在产生前所未有的海量数据。得益于计算科学的进步，人工智能（AI）方法成为从复杂数据结构中提取相关信息的一条大有可为的途径。从辅助诊断到强大的研究工具，机器学习技术在病理学中的潜在应用领域十分广阔，也是大量研究工作的主题。本文旨在概述人工智能在血液病理学领域的潜在应用，并明确这些新兴技术在中短期内可在我们的实验室中发挥的作用。

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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Role of artificial intelligence in haematolymphoid diagnostics.

The advent of digital pathology and the deployment of high-throughput molecular techniques are generating an unprecedented mass of data. Thanks to advances in computational sciences, artificial intelligence (AI) approaches represent a promising avenue for extracting relevant information from complex data structures. From diagnostic assistance to powerful research tools, the potential fields of application of machine learning techniques in pathology are vast and constitute the subject of considerable research work. The aim of this article is to provide an overview of the potential applications of AI in the field of haematopathology and to define the role that these emerging technologies could play in our laboratories in the short to medium term.

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来源期刊

Histopathology 医学-病理学

CiteScore

10.20

自引率

4.70%

发文量

239

审稿时长

1 months

期刊介绍： Histopathology is an international journal intended to be of practical value to surgical and diagnostic histopathologists, and to investigators of human disease who employ histopathological methods. Our primary purpose is to publish advances in pathology, in particular those applicable to clinical practice and contributing to the better understanding of human disease.