• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法，用中文像聊天一样搜索，搜遍4000万医学文献。AI智能推荐，让科研检索更轻松。

立即免费搜索

文件翻译

保留排版，准确专业，支持PDF/Word/PPT等文件格式，支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述，25分钟生成高质量综述，智能提取关键信息，辅助科研写作。

立即免费体验

利用人工智能的进展提高姑息治疗的质量和及时性。

Leveraging Advances in Artificial Intelligence to Improve the Quality and Timing of Palliative Care.

作者信息

Windisch Paul, Hertler Caroline, Blum David, Zwahlen Daniel, Förster Robert

机构信息

Department of Radiation Oncology, Kantonsspital Winterthur, 8400 Winterthur, Switzerland.

Competence Center for Palliative Care, University Hospital Zurich, 8091 Zurich, Switzerland.

出版信息

Cancers (Basel). 2020 May 3;12(5):1149. doi: 10.3390/cancers12051149.

DOI:10.3390/cancers12051149
PMID:32375249
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7281519/
Abstract

In recent years, research on artificial intelligence (AI) in medicine has seen great advances, especially with regards to the detection of diseases [...].

摘要

近年来，医学领域对人工智能（AI）的研究取得了巨大进展，尤其是在疾病检测方面[...]。

相似文献

1
Leveraging Advances in Artificial Intelligence to Improve the Quality and Timing of Palliative Care.利用人工智能的进展提高姑息治疗的质量和及时性。
Cancers (Basel). 2020 May 3;12(5):1149. doi: 10.3390/cancers12051149.
2
Artificial intelligence in oncology: From bench to clinic.人工智能在肿瘤学中的应用：从实验室到临床。
Semin Cancer Biol. 2022 Sep;84:113-128. doi: 10.1016/j.semcancer.2021.04.013. Epub 2021 Apr 26.
3
Revolutionizing Breast Healthcare: Harnessing the Role of Artificial Intelligence.变革乳腺医疗保健：利用人工智能的作用
Cureus. 2023 Dec 8;15(12):e50203. doi: 10.7759/cureus.50203. eCollection 2023 Dec.
4
Effect of an Artificial Intelligence Decision Support Tool on Palliative Care Referral in Hospitalized Patients: A Randomized Clinical Trial.人工智能决策支持工具对住院患者姑息治疗转介的影响：一项随机临床试验。
J Pain Symptom Manage. 2023 Jul;66(1):24-32. doi: 10.1016/j.jpainsymman.2023.02.317. Epub 2023 Feb 24.
5
Artificial Intelligence in Reproductive Urology.人工智能在生殖泌尿科中的应用。
Curr Urol Rep. 2019 Jul 29;20(9):52. doi: 10.1007/s11934-019-0914-4.
6
Potential applications of artificial intelligence in colorectal polyps and cancer: Recent advances and prospects.人工智能在结直肠息肉和癌症中的潜在应用：最新进展与前景
World J Gastroenterol. 2020 Sep 14;26(34):5090-5100. doi: 10.3748/wjg.v26.i34.5090.
7
Evolution and Applications of Artificial Intelligence to Cataract Surgery.人工智能在白内障手术中的发展与应用
Ophthalmol Sci. 2022 Apr 25;2(3):100164. doi: 10.1016/j.xops.2022.100164. eCollection 2022 Sep.
8
Medical Student Experiences and Perceptions of ChatGPT and Artificial Intelligence: Cross-Sectional Study.医学生对 ChatGPT 和人工智能的体验和看法：一项横断面研究。
JMIR Med Educ. 2023 Dec 22;9:e51302. doi: 10.2196/51302.
9
Impact of artificial intelligence on prognosis, shared decision-making, and precision medicine for patients with inflammatory bowel disease: a perspective and expert opinion.人工智能对炎症性肠病患者预后、共同决策和精准医学的影响：观点和专家意见。
Ann Med. 2023;55(2):2300670. doi: 10.1080/07853890.2023.2300670. Epub 2024 Jan 1.
10
Recent Advances of Utilizing Artificial Intelligence in Lab on a Chip for Diagnosis and Treatment.人工智能在用于诊断和治疗的芯片实验室中的最新进展
Small. 2022 Oct;18(42):e2203169. doi: 10.1002/smll.202203169. Epub 2022 Aug 26.

引用本文的文献

1
Ethical Challenges and Opportunities of AI in End-of-Life Palliative Care: Integrative Review.人工智能在临终姑息治疗中的伦理挑战与机遇：综合综述
Interact J Med Res. 2025 May 14;14:e73517. doi: 10.2196/73517.
2
Empowering cancer prevention with AI: unlocking new frontiers in prediction, diagnosis, and intervention.利用人工智能助力癌症预防：开启预测、诊断和干预的新前沿。
Cancer Causes Control. 2025 Apr;36(4):353-367. doi: 10.1007/s10552-024-01942-9. Epub 2024 Dec 13.
3
The ethical dimensions of utilizing Artificial Intelligence in palliative care.在姑息治疗中使用人工智能的伦理维度。
Nurs Ethics. 2025 Jun;32(4):1285-1296. doi: 10.1177/09697330241296874. Epub 2024 Nov 17.
4
Leveraging the Academic Artificial Intelligence Silecosystem to Advance the Community Oncology Enterprise.利用学术人工智能生态系统推动社区肿瘤事业发展。
J Clin Med. 2023 Jul 21;12(14):4830. doi: 10.3390/jcm12144830.
5
Applications of Machine Learning in Palliative Care: A Systematic Review.机器学习在姑息治疗中的应用：一项系统综述
Cancers (Basel). 2023 Mar 4;15(5):1596. doi: 10.3390/cancers15051596.
6
Impact of a machine learning algorithm on time to palliative care in a primary care population: protocol for a stepped-wedge pragmatic randomized trial.机器学习算法对初级保健人群接受姑息治疗时间的影响：一项阶梯式实用随机试验方案。
BMC Palliat Care. 2023 Feb 3;22(1):9. doi: 10.1186/s12904-022-01113-0.
7
Feature Paper Special Issue for Editorial Board Members (EBMs) of .特刊论文，面向《……》编辑委员会成员（EBMs）
Diseases. 2022 Mar 22;10(2):18. doi: 10.3390/diseases10020018.

本文引用的文献

1
Text Data Augmentation for Deep Learning.用于深度学习的文本数据增强
J Big Data. 2021;8(1):101. doi: 10.1186/s40537-021-00492-0. Epub 2021 Jul 19.
2
Improving palliative and end-of-life care with machine learning and routine data: a rapid review.利用机器学习和常规数据改善姑息治疗和临终关怀：一项快速综述。
HRB Open Res. 2019 Jul 15;2:13. doi: 10.12688/hrbopenres.12923.2. eCollection 2019.
3
Artificial intelligence for global health.用于全球健康的人工智能
Science. 2019 Nov 22;366(6468):955-956. doi: 10.1126/science.aay5189.
4
Deep Learning to Improve Breast Cancer Detection on Screening Mammography.深度学习在提高筛查性乳房 X 光摄影乳腺癌检测中的应用。
Sci Rep. 2019 Aug 29;9(1):12495. doi: 10.1038/s41598-019-48995-4.
5
Development and Validation of a Deep Learning Algorithm for Mortality Prediction in Selecting Patients With Dementia for Earlier Palliative Care Interventions.开发和验证一种深度学习算法，用于预测痴呆患者的死亡率，以便更早地进行姑息治疗干预。
JAMA Netw Open. 2019 Jul 3;2(7):e196972. doi: 10.1001/jamanetworkopen.2019.6972.
6
Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning.基于深度学习的眼底图像心血管风险因素预测。
Nat Biomed Eng. 2018 Mar;2(3):158-164. doi: 10.1038/s41551-018-0195-0. Epub 2018 Feb 19.
7
A guide to deep learning in healthcare.深度学习在医疗保健中的应用指南。
Nat Med. 2019 Jan;25(1):24-29. doi: 10.1038/s41591-018-0316-z. Epub 2019 Jan 7.
8
Improving palliative care with deep learning.利用深度学习改善姑息治疗。
BMC Med Inform Decis Mak. 2018 Dec 12;18(Suppl 4):122. doi: 10.1186/s12911-018-0677-8.
9
Identifying in Palliative Care Consultations: A Tandem Machine-Learning and Human Coding Method.在姑息治疗咨询中识别：一种串联机器学习和人工编码方法。
J Palliat Med. 2018 Dec;21(12):1755-1760. doi: 10.1089/jpm.2018.0270. Epub 2018 Oct 17.
10
The rise of deep learning in drug discovery.深度学习在药物发现中的崛起。
Drug Discov Today. 2018 Jun;23(6):1241-1250. doi: 10.1016/j.drudis.2018.01.039. Epub 2018 Jan 31.