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.
Abstract
摘要
相似文献
1
Strengthening the TB response with artificial intelligence and the right to health.利用人工智能加强结核病应对与健康权。
IJTLD Open. 2025 Sep 10;2(9):548-551. doi: 10.5588/ijtldopen.25.0271. eCollection 2025 Sep.
2
Reducing Hallucinations and Trade-Offs in Responses in Generative AI Chatbots for Cancer Information: Development and Evaluation Study.减少生成式人工智能聊天机器人提供癌症信息时的幻觉及反应权衡：开发与评估研究
JMIR Cancer. 2025 Sep 11;11:e70176. doi: 10.2196/70176.
3
Performance of chest X-ray with computer-aided detection powered by deep learning-based artificial intelligence for tuberculosis presumptive identification during case finding in the Philippines.在菲律宾病例发现期间，利用基于深度学习的人工智能驱动的计算机辅助检测进行胸部X光检查以推定识别结核病的性能。
BMC Glob Public Health. 2025 Aug 22;3(1):74. doi: 10.1186/s44263-025-00198-y.
4
Evaluating the validity and consistency of artificial intelligence chatbots in responding to patients' frequently asked questions in prosthodontics.评估人工智能聊天机器人在回答患者口腔修复学常见问题时的有效性和一致性。
J Prosthet Dent. 2025 Apr 7. doi: 10.1016/j.prosdent.2025.03.009.
5
Performance of 7 Artificial Intelligence Chatbots on Board-style Endodontic Questions.7款人工智能聊天机器人在根管治疗式问题上的表现
J Endod. 2025 Jun 26. doi: 10.1016/j.joen.2025.06.014.
6
A systematic review and meta-analysis of artificial intelligence software for tuberculosis diagnosis using chest X-ray imaging.一项关于使用胸部X光成像的人工智能软件进行结核病诊断的系统评价和荟萃分析。
J Thorac Dis. 2025 May 30;17(5):3223-3237. doi: 10.21037/jtd-2025-604. Epub 2025 May 27.
7
Artificial Intelligence-Based Chatbots for Promoting Health Behavioral Changes: Systematic Review.基于人工智能的聊天机器人促进健康行为改变：系统评价。
J Med Internet Res. 2023 Feb 24;25:e40789. doi: 10.2196/40789.
8
Perceptions and Attitudes of Chinese Oncologists Toward Endorsing AI-Driven Chatbots for Health Information Seeking Among Patients with Cancer: Phenomenological Qualitative Study.中国肿瘤学家对认可人工智能驱动的聊天机器人用于癌症患者健康信息查询的认知与态度：现象学定性研究
J Med Internet Res. 2025 Jul 23;27:e71418. doi: 10.2196/71418.
9
Parental Perception on Usage of AI Chatbot to Understand Paediatric Otorhinolaryngology Condition: A Survey.家长对使用人工智能聊天机器人了解小儿耳鼻咽喉科疾病的认知：一项调查
Indian J Otolaryngol Head Neck Surg. 2025 May;77(5):2078-2087. doi: 10.1007/s12070-025-05451-2. Epub 2025 Apr 7.
10
Revolutionizing e-health: the transformative role of AI-powered hybrid chatbots in healthcare solutions.变革电子健康：人工智能驱动的混合聊天机器人在医疗保健解决方案中的变革性作用。
Front Public Health. 2025 Feb 13;13:1530799. doi: 10.3389/fpubh.2025.1530799. eCollection 2025.
本文引用的文献
1
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
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.
Zotero 插件