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基于人工智能的算法用于诊断前列腺癌:一个系统的审查

Stefano Marletta^1,2, Albino Eccher³, Filippo Maria Martelli¹

¹Department of Diagnostics and Public Health, Section of Pathology, University of Verona, Verona, Italy.

American journal of clinical pathology

|February 21, 2024

概括

人工智能 (AI) 有助于前列腺癌的检测和分级,显著减少病理实验室的周转时间 (TAT). 人工智能在预测结果方面表现有希望,提高了病理学家的工作流效率.

科学领域:

病理学病理学病理学
数字病理学数字病理学
人工智能的人工智能

背景情况:

前列腺癌的诊断显著影响病理学实验室的工作流程和周转时间 (TAT).
全幻灯片成像 (WSI) 和AI已被批准用于前列腺病理学的初级诊断.
人工智能提供了新的工具来帮助医生进行日常诊断.

结论:

已发表的证据支持人工智能可靠地用于前列腺癌检测和分级.
人工智能通过简化耗时的幻灯片选过程来协助病理学家.
技术进步对于更广泛地采用人工智能和提高前列腺病理学预后能力至关重要.

关键词:

人工智能的人工智能是人工智能.卷积神经网络是一种卷积神经网络.诊断诊断诊断诊断诊断诊断数字病理学数字病理学前列腺癌是前列腺癌.系统性审查系统性审查

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