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本文引用的文献

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Artificial intelligence for TB education and counselling: a modified Delphi consensus.用于结核病教育与咨询的人工智能：一项改良的德尔菲共识。
Int J Tuberc Lung Dis. 2025 Aug 29;29(9):390-396. doi: 10.5588/ijtld.25.0086.
2
Finding the missed millions: innovations to bring tuberculosis diagnosis closer to key populations.寻找遗漏的数百万人：推动结核病诊断更贴近重点人群的创新举措。
BMC Glob Public Health. 2024 May 17;2(1):33. doi: 10.1186/s44263-024-00063-4.
3
Disparities in medical recommendations from AI-based chatbots across different countries/regions.不同国家/地区的人工智能聊天机器人提供的医疗建议存在差异。
Sci Rep. 2024 Jul 24;14(1):17052. doi: 10.1038/s41598-024-67689-0.
4
Computer-aided detection of tuberculosis from chest radiographs in a tuberculosis prevalence survey in South Africa: external validation and modelled impacts of commercially available artificial intelligence software.南非结核病流行调查中基于计算机的 X 线胸片结核病检测：商业化人工智能软件的外部验证和模拟影响。
Lancet Digit Health. 2024 Sep;6(9):e605-e613. doi: 10.1016/S2589-7500(24)00118-3. Epub 2024 Jul 19.
5
Effectiveness of Using AI-Driven Hotspot Mapping for Active Case Finding of Tuberculosis in Southwestern Nigeria.在尼日利亚西南部使用人工智能驱动的热点地图进行结核病主动病例发现的有效性
Trop Med Infect Dis. 2024 Apr 29;9(5):99. doi: 10.3390/tropicalmed9050099.
6
The rise of artificial intelligence reading of chest X-rays for enhanced TB diagnosis and elimination.人工智能读片在增强结核病诊断和消除中的应用。
Int J Tuberc Lung Dis. 2023 May 1;27(5):367-372. doi: 10.5588/ijtld.22.0687.
7
CAD4TB software updates: different triaging thresholds require caution by users and regulation by authorities.CAD4TB软件更新：不同的分诊阈值需要用户谨慎对待并由当局进行监管。
Int J Tuberc Lung Dis. 2023 Feb 1;27(2):157-160. doi: 10.5588/ijtld.22.0437.
8
Building the Evidence for a Rights-Based, People-Centered, Gender-Transformative Tuberculosis Response: An Analysis of the Stop TB Partnership Community, Rights, and Gender Tuberculosis Assessment.构建基于权利、以人为本、性别平等的结核病应对措施的证据：对遏制结核病伙伴关系社区、权利和性别结核病评估的分析。
Health Hum Rights. 2021 Dec;23(2):253-267.
9
Cost-effectiveness of artificial intelligence monitoring for active tuberculosis treatment: A modeling study.人工智能监测在活动性肺结核治疗中的成本效益：一项建模研究。
PLoS One. 2021 Jul 21;16(7):e0254950. doi: 10.1371/journal.pone.0254950. eCollection 2021.
10
External Validation of a Widely Implemented Proprietary Sepsis Prediction Model in Hospitalized Patients.在住院患者中验证广泛实施的专有脓毒症预测模型的外部有效性。
JAMA Intern Med. 2021 Aug 1;181(8):1065-1070. doi: 10.1001/jamainternmed.2021.2626.

Strengthening the TB response with artificial intelligence and the right to health.

作者信息

Citro B, Zaidi S, Malar J, Klymenko O, Hermawan B

机构信息

Independent researcher, Chicago, USA.

Stop TB Partnership, Geneva, Switzerland.

出版信息

IJTLD Open. 2025 Sep 10;2(9):548-551. doi: 10.5588/ijtldopen.25.0271. eCollection 2025 Sep.

DOI:10.5588/ijtldopen.25.0271
PMID:40959783
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12435453/
Abstract
摘要