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Artificial intelligence-Developments in medicine in the last two years.

作者信息

Galimova Rezida Maratovna, Buzaev Igor Vyacheslavovich, Ramilevich Kireev Ayvar, Yuldybaev Lev Khadyevich, Shaykhulova Aigul Fazirovna

机构信息

Department of Neurology, GOU VPO Bashkir State Medical University, Ufa 450077, Russia.

Department of Interventional Cardiology, GBUZ Republic Heart Centre, GOU VPO Bashkir State Medical University, Ufa 450077, Russia.

出版信息

Chronic Dis Transl Med. 2019 Jan 9;5(1):64-68. doi: 10.1016/j.cdtm.2018.11.004. eCollection 2019 Mar.

DOI:10.1016/j.cdtm.2018.11.004
PMID:30993265
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6449768/
Abstract
摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8226/6449768/814a079f71c3/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8226/6449768/0223cdbae2c2/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8226/6449768/814a079f71c3/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8226/6449768/0223cdbae2c2/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8226/6449768/814a079f71c3/gr2.jpg

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Artif Intell Med. 2018 Sep;91:57-71. doi: 10.1016/j.artmed.2018.06.001. Epub 2018 Jun 29.
2
Recent advances in extracting and processing rich semantics from medical texts.从医学文本中提取和处理丰富语义的最新进展。
Artif Intell Med. 2019 Jan;93:11-12. doi: 10.1016/j.artmed.2018.07.004. Epub 2018 Aug 3.
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RETRACTED: Diagnosis labeling with disease-specific characteristics mining.撤回：具有疾病特异性特征挖掘的诊断标签。
人工智能：将其纳入医学院教育的时机到了吗？也许……也许没有。
MedEdPublish (2016). 2021 Sep 3;10:131. doi: 10.15694/mep.2021.000131.2. eCollection 2021.
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Use Case Evaluation and Digital Workflow of Breast Cancer Care by Artificial Intelligence and Blockchain Technology Application.人工智能与区块链技术应用在乳腺癌护理中的用例评估及数字化工作流程
Healthcare (Basel). 2022 Oct 20;10(10):2100. doi: 10.3390/healthcare10102100.
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Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine.开发具有多功能机器学习平台的人工智能，以实现更优质的医疗保健和精准医疗。
Database (Oxford). 2020 Jan 1;2020. doi: 10.1093/database/baaa010.
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Abdominal, multi-organ, auto-contouring method for online adaptive magnetic resonance guided radiotherapy: An intelligent, multi-level fusion approach.腹部、多器官自动轮廓勾画在线自适应磁共振引导放射治疗：一种智能、多层次融合方法。
Artif Intell Med. 2018 Aug;90:34-41. doi: 10.1016/j.artmed.2018.07.001. Epub 2018 Jul 24.
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Artif Intell Med. 2018 Aug;90:15-24. doi: 10.1016/j.artmed.2018.06.004. Epub 2018 Jul 2.
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Process models of interrelated speech intentions from online health-related conversations.在线健康相关对话中相互关联的言语意图的过程模型。
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