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Balancing between A and I.

作者信息

Pedersen Emma Skovgaard, Johansen Christoffer, Thomsen Mette Kielsholm

机构信息

Department of Clinical Epidemiology, Aarhus University & Aarhus University Hospital, Aarhus, Denmark.

Danish Cancer Society National Cancer Survivorship and Late Effects Research Center (CASTLE), Department of Oncology, Copenhagen University Hospital - Rigshospitalet, Copenhagen Denmark.

出版信息

Acta Oncol. 2025 May 7;64:641-643. doi: 10.2340/1651-226X.2025.43320.

DOI:10.2340/1651-226X.2025.43320
PMID:40336181
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12078944/
Abstract
摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2e3/12078944/2c0372cac944/AO-64-43320-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2e3/12078944/2c0372cac944/AO-64-43320-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2e3/12078944/2c0372cac944/AO-64-43320-g001.jpg

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本文引用的文献

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Triaging mammography with artificial intelligence: an implementation study.利用人工智能进行乳腺钼靶检查的分诊:一项实施研究。
Breast Cancer Res Treat. 2025 May;211(1):1-10. doi: 10.1007/s10549-025-07616-7. Epub 2025 Jan 29.
2
Nationwide real-world implementation of AI for cancer detection in population-based mammography screening.在基于人群的乳腺钼靶筛查中,人工智能用于癌症检测的全国性真实世界实施。
Nat Med. 2025 Mar;31(3):917-924. doi: 10.1038/s41591-024-03408-6. Epub 2025 Jan 7.
3
Implementation Strategy for Artificial Intelligence in Radiotherapy: Can Implementation Science Help?
放射治疗中人工智能的实施策略:实施科学能提供帮助吗?
JCO Clin Cancer Inform. 2024 Dec;8:e2400101. doi: 10.1200/CCI.24.00101. Epub 2024 Dec 20.
4
Artificial intelligence-aided data mining of medical records for cancer detection and screening.用于癌症检测和筛查的病历人工智能辅助数据挖掘
Lancet Oncol. 2024 Dec;25(12):e694-e703. doi: 10.1016/S1470-2045(24)00277-8.
5
Translating AI for the Clinician.为临床医生翻译人工智能。
JAMA. 2024 Nov 26;332(20):1701-1702. doi: 10.1001/jama.2024.21772.
6
Ultrasensitive plasma-based monitoring of tumor burden using machine-learning-guided signal enrichment.基于机器学习引导的信号富集的超高灵敏血浆肿瘤负担监测。
Nat Med. 2024 Jun;30(6):1655-1666. doi: 10.1038/s41591-024-03040-4. Epub 2024 Jun 14.
7
A guide to artificial intelligence for cancer researchers.癌症研究人员的人工智能指南。
Nat Rev Cancer. 2024 Jun;24(6):427-441. doi: 10.1038/s41568-024-00694-7. Epub 2024 May 16.
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TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods.TRIPOD+AI 声明:报告使用回归或机器学习方法的临床预测模型的更新指南。
BMJ. 2024 Apr 16;385:e078378. doi: 10.1136/bmj-2023-078378.
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Global cancer burden growing, amidst mounting need for services.全球癌症负担不断增加,对服务的需求也日益迫切。
Saudi Med J. 2024 Mar;45(3):326-327.
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All models are wrong and yours are useless: making clinical prediction models impactful for patients.所有模型都是有缺陷的,而你的模型毫无用处:让临床预测模型对患者产生影响。
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