The Year of AI: Learning With Machines to Improve Veteran Health Care.
作者信息
Geppert Cynthia M A
机构信息
Editor-in-Chief.
出版信息
Fed Pract. 2024 Dec;41(12):388-389. doi: 10.12788/fp.0543. Epub 2024 Dec 16.
Abstract
摘要
相似文献
1
The Year of AI: Learning With Machines to Improve Veteran Health Care.人工智能之年：与机器协作以改善退伍军人医疗保健
Fed Pract. 2024 Dec;41(12):388-389. doi: 10.12788/fp.0543. Epub 2024 Dec 16.
2
Transcriptome analysis and artificial intelligence for predicting lymph node metastasis of esophageal squamous cell carcinoma.用于预测食管鳞状细胞癌淋巴结转移的转录组分析与人工智能
J Thorac Dis. 2025 May 30;17(5):3283-3296. doi: 10.21037/jtd-2025-662. Epub 2025 May 28.
3
Impact of AI-Assisted Diagnosis on American Patients' Trust in and Intention to Seek Help From Health Care Professionals: Randomized, Web-Based Survey Experiment.人工智能辅助诊断对美国患者对医疗保健专业人员的信任及寻求帮助意愿的影响：基于网络的随机调查实验。
J Med Internet Res. 2025 Jun 18;27:e66083. doi: 10.2196/66083.
4
Expectations and Requirements of Surgical Staff for an AI-Supported Clinical Decision Support System for Older Patients: Qualitative Study.外科医护人员对用于老年患者的人工智能支持临床决策支持系统的期望与要求：定性研究
JMIR Aging. 2024 Dec 17;7:e57899. doi: 10.2196/57899.
5
Redefining Mentorship in Medical Education with Artificial Intelligence: A Delphi Study on the Feasibility and Implications.利用人工智能重新定义医学教育中的导师指导：关于可行性和影响的德尔菲研究
Teach Learn Med. 2025 Jun 18:1-11. doi: 10.1080/10401334.2025.2521001.
6
Assessing the potential for application of machine learning in predicting weather-sensitive waterborne diseases in selected districts of Tanzania.评估在坦桑尼亚部分地区应用机器学习预测对天气敏感的水源性疾病的潜力。
Front Artif Intell. 2025 Jun 4;8:1597727. doi: 10.3389/frai.2025.1597727. eCollection 2025.
7
The dawn of a new era: can machine learning and large language models reshape QSP modeling?新时代的曙光：机器学习和大语言模型能否重塑定量系统药理学建模？
J Pharmacokinet Pharmacodyn. 2025 Jun 16;52(4):36. doi: 10.1007/s10928-025-09984-5.
8
Navigating artificial intelligence in home healthcare: challenges and opportunities in nursing wound care.在家居医疗保健中运用人工智能：护理伤口护理的挑战与机遇
BMC Nurs. 2025 Jun 19;24(1):660. doi: 10.1186/s12912-025-03348-7.
9
AI-Driven Antimicrobial Peptide Discovery: Mining and Generation.人工智能驱动的抗菌肽发现：挖掘与生成
Acc Chem Res. 2025 Jun 17;58(12):1831-1846. doi: 10.1021/acs.accounts.0c00594. Epub 2025 Jun 3.
10
What makes a 'good' decision with artificial intelligence? A grounded theory study in paediatric care.如何利用人工智能做出“好”的决策？一项关于儿科护理的扎根理论研究。
BMJ Evid Based Med. 2025 May 20;30(3):183-193. doi: 10.1136/bmjebm-2024-112919.
本文引用的文献
1
The VA Was an Early Adopter of Artificial Intelligence to Improve Care-Here's What They Learned.美国退伍军人事务部是人工智能改善医疗服务的早期采用者——以下是他们的经验教训。
JAMA. 2024 Nov 5;332(17):1411-1414. doi: 10.1001/jama.2024.20563.
2
Addressing AI Algorithmic Bias in Health Care.解决医疗保健中的人工智能算法偏见问题。
JAMA. 2024 Oct 1;332(13):1051-1052. doi: 10.1001/jama.2024.13486.
3
Machine learning and the prediction of suicide in psychiatric populations: a systematic review.机器学习在精神科人群自杀预测中的应用：系统综述。
Transl Psychiatry. 2024 Mar 9;14(1):140. doi: 10.1038/s41398-024-02852-9.
4
Evaluation of the Recovery Engagement and Coordination for Health-Veterans Enhanced Treatment Suicide Risk Modeling Clinical Program in the Veterans Health Administration.评估退伍军人健康管理局的健康退伍军人强化治疗自杀风险建模临床项目的康复参与和协调。
JAMA Netw Open. 2021 Oct 1;4(10):e2129900. doi: 10.1001/jamanetworkopen.2021.29900.
Zotero 插件