人工智能在胸腔病理学中的诊断和预测应用

Diagnostic Histopathology Pub Date : 2025-08-01 DOI:10.1016/j.mpdhp.2025.06.008

Jan von der Thüsen

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引用次数: 0

摘要

人工智能（AI）正在通过对组织学图像的计算分析迅速改变胸部病理学。本文简要综述了人工智能在胸部恶性肿瘤组织病理学诊断中的临床应用现状和未来方向，包括诊断分类、预后、分子改变预测、治疗反应和肿瘤微环境（TME）评估。本文回顾了人工智能在病理学中的技术基础，重点介绍了人工智能在胸部病理学中的实际应用和诊断挑战，以及可解释性、验证、基础设施、报销和监管方面的问题。

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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Artificial intelligence in thoracic pathology: diagnostic and predictive applications

Artificial intelligence (AI) is rapidly transforming thoracic pathology through computational analysis of histological images. This brief review outlines the current state and future directions of clinical AI applications in histopathologic diagnosis of thoracic malignancies, including diagnostic classification, prognosis, prediction of molecular alterations, response to therapy, and assessment of the tumour microenvironment (TME). The technological foundations of AI in pathology are reviewed, highlighting the practical applications and diagnostic challenges in thoracic pathology, as well as issues in interpretability, validation, infrastructure, reimbursement, and regulation.

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来源期刊

Diagnostic Histopathology Medicine-Pathology and Forensic Medicine

CiteScore

1.30

自引率

0.00%

发文量

期刊介绍： This monthly review journal aims to provide the practising diagnostic pathologist and trainee pathologist with up-to-date reviews on histopathology and cytology and related technical advances. Each issue contains invited articles on a variety of topics from experts in the field and includes a mini-symposium exploring one subject in greater depth. Articles consist of system-based, disease-based reviews and advances in technology. They update the readers on day-to-day diagnostic work and keep them informed of important new developments. An additional feature is the short section devoted to hypotheses; these have been refereed. There is also a correspondence section.