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在巴基斯坦建立人工智能驱动的虚拟肿瘤病例讨论会

Establishing Artificial Intelligence-Powered Virtual Tumor Board Meetings in Pakistan.

作者信息

Khan Saqib Raza, Khan Anoud, Tareen Aryan

机构信息

London Regional Cancer Program, London Health Sciences Centre, London, ON, Canada.

Department of Oncology, Division of Medical Oncology, Schulich School of Medicine & Dentistry, Western University, London, ON, Canada.

出版信息

Cancer Control. 2025 Jan-Dec;32:10732748251331753. doi: 10.1177/10732748251331753. Epub 2025 Mar 28.

DOI:10.1177/10732748251331753
PMID:40152019
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11951892/
Abstract

Equitable cancer care in low- and middle-income countries is crucial as mortality rates continue to rise. Artificial intelligence (AI)-powered Virtual Tumor Board Meetings (VTBMs) offer an innovative solution that facilitates real-time collaboration between experts to improve patient outcomes. By integrating AI-powered tools, VTBMs can improve diagnostic accuracy and personalize treatment plans using various data sources such as medical images and genomic profiles. In Pakistan, with limited healthcare resources and a high economic burden, the introduction of AI-powered VTBMs has the potential to revolutionize cancer care. This strategic approach will not only address the current challenges in Pakistan, but also serve as a model for improving cancer care in various developing countries.

摘要

随着中低收入国家的癌症死亡率持续上升,公平的癌症护理至关重要。由人工智能驱动的虚拟肿瘤专家会诊(VTBMs)提供了一种创新解决方案,有助于专家之间的实时协作,以改善患者治疗效果。通过整合人工智能驱动的工具,虚拟肿瘤专家会诊可以利用医学图像和基因组图谱等各种数据源提高诊断准确性,并使治疗方案个性化。在巴基斯坦,医疗资源有限且经济负担沉重,引入人工智能驱动的虚拟肿瘤专家会诊有潜力彻底改变癌症护理。这种战略方法不仅将应对巴基斯坦当前面临的挑战,还将成为改善各个发展中国家癌症护理的典范。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff26/11951892/6291d33c401e/10.1177_10732748251331753-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff26/11951892/6291d33c401e/10.1177_10732748251331753-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff26/11951892/6291d33c401e/10.1177_10732748251331753-fig1.jpg

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本文引用的文献

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Establishing core data elements for colorectal cancer and mapping to FHIR resources: Towards interoperable Iranian health information systems.建立结直肠癌的核心数据元素并映射到FHIR资源:迈向可互操作的伊朗健康信息系统。
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Utility of Artificial Intelligence for Decision Making in Thoracic Multidisciplinary Tumor Boards.人工智能在胸科多学科肿瘤委员会决策中的应用
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The Role of Artificial Intelligence on Tumor Boards: Perspectives from Surgeons, Medical Oncologists and Radiation Oncologists.
人工智能在肿瘤委员会中的作用:外科医生、肿瘤内科医生和放射肿瘤医生的观点。
Curr Oncol. 2024 Aug 27;31(9):4984-5007. doi: 10.3390/curroncol31090369.
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Bridging healthcare gaps: a scoping review on the role of artificial intelligence, deep learning, and large language models in alleviating problems in medical deserts.弥合医疗保健差距:关于人工智能、深度学习和大语言模型在缓解医疗荒漠问题中作用的范围综述
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Developing a Virtual Equity Hub: Adapting the Tumor Board Model for Equity in Cancer Care.开发虚拟股权中心:为癌症护理中的公平性调整肿瘤委员会模式。
Oncologist. 2022 Jul 5;27(7):518-524. doi: 10.1093/oncolo/oyac069.
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Priorities for cancer research in low- and middle-income countries: a global perspective.中低收入国家癌症研究重点:全球视角。
Nat Med. 2022 Apr;28(4):649-657. doi: 10.1038/s41591-022-01738-x. Epub 2022 Apr 19.
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JCO Glob Oncol. 2022 Feb;8:e2100132. doi: 10.1200/GO.21.00132.
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