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Rare diseases 2030: how augmented AI will support diagnosis and treatment of rare diseases in the future.

作者信息

Hirsch Martin Christian, Ronicke Simon, Krusche Martin, Wagner Annette Doris

机构信息

Institute for AI in Medicine, University Hospital of Giessen and Marburg, Marburg, Germany.

Ada Health GmbH, Berlin, Germany.

出版信息

Ann Rheum Dis. 2020 Jun;79(6):740-743. doi: 10.1136/annrheumdis-2020-217125. Epub 2020 Mar 24.

DOI:10.1136/annrheumdis-2020-217125
PMID:32209541
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7286047/
Abstract
摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c5c/7286047/ea5bb7294891/annrheumdis-2020-217125f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c5c/7286047/ea5bb7294891/annrheumdis-2020-217125f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c5c/7286047/ea5bb7294891/annrheumdis-2020-217125f01.jpg

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2
The emerging world of digital therapeutics.数字疗法的新兴领域。
Nature. 2019 Sep;573(7775):S106-S109. doi: 10.1038/d41586-019-02873-1.
3
Impact of remote patient monitoring on clinical outcomes: an updated meta-analysis of randomized controlled trials.远程患者监测对临床结局的影响:随机对照试验的最新荟萃分析
一天一个 App ,能否让医生远离我?人工智能症状检查应用程序、根深蒂固的偏见与专业责任。
J Med Internet Res. 2024 Jun 5;26:e50344. doi: 10.2196/50344.
4
Citizen data sovereignty is key to wearables and wellness data reuse for the common good.公民数据主权是可穿戴设备和健康数据为公共利益而重复使用的关键。
NPJ Digit Med. 2024 Feb 12;7(1):27. doi: 10.1038/s41746-024-01004-z.
5
COVID-19 and the rare disease organization response during pandemic: the 'Italian model'.新冠疫情期间的新冠肺炎与罕见病组织应对:“意大利模式”
Future Rare Dis. 2022 Mar;2(1):FRD21. doi: 10.2217/frd-2022-0001. Epub 2022 Mar 30.
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[Faster diagnosis of rare diseases with artificial intelligence-A precept of ethics, economy and quality of life].[利用人工智能更快地诊断罕见病——伦理、经济与生活质量的准则]
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7
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8
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10
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Yale J Biol Med. 2021 Dec 29;94(4):693-702. eCollection 2021 Dec.
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4
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5
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6
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9
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10
Safety of patient-facing digital symptom checkers.面向患者的数字症状检查器的安全性。
Lancet. 2018 Nov 24;392(10161):2263-2264. doi: 10.1016/S0140-6736(18)32819-8. Epub 2018 Nov 6.