• 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

相似文献

1
Improving community health-care screenings with smartphone-based AI technologies.利用基于智能手机的人工智能技术改善社区医疗筛查。
Lancet Digit Health. 2021 May;3(5):e280-e282. doi: 10.1016/S2589-7500(21)00054-6.
2
[Artificial intelligence and smartphone program applications (Apps) : Relevance for dermatological practice].[人工智能与智能手机程序应用（应用程序）：对皮肤科实践的相关性]
Hautarzt. 2020 Sep;71(9):691-698. doi: 10.1007/s00105-020-04658-4.
3
Machine learning in a time of COVID-19 - Can machine learning support Community Health Workers (CHWs) in low and middle income countries (LMICs) in the new normal?新冠疫情时代的机器学习——在新常态下，机器学习能否支持中低收入国家的社区卫生工作者？
J Glob Health. 2021 Jan 16;11:03017. doi: 10.7189/jogh.11.03017.
4
An overview of GeoAI applications in health and healthcare.地理人工智能在健康和医疗保健中的应用概述。
Int J Health Geogr. 2019 May 2;18(1):7. doi: 10.1186/s12942-019-0171-2.
5
Navigating Turbulent Waters: Leading Home and Community Care Practice Change during the COVID-19 Pandemic.驾驭动荡之水：在 COVID-19 大流行期间引领家庭和社区护理实践变革。
Nurs Leadersh (Tor Ont). 2020 Dec;33(4):62-67. doi: 10.12927/cjnl.2021.26419.
6
[Smartphone apps for self-diagnosis of skin cancer].用于皮肤癌自我诊断的智能手机应用程序
Ned Tijdschr Geneeskd. 2022 Jan 19;166:D5986.
7
Recent developments in the use of smartphone interventions for mental health.智能手机干预在心理健康中的应用的最新进展。
Curr Opin Psychiatry. 2018 Sep;31(5):379-388. doi: 10.1097/YCO.0000000000000439.
8
Community health workers and mobile technology: a systematic review of the literature.社区卫生工作者和移动技术：文献系统评价。
PLoS One. 2013 Jun 12;8(6):e65772. doi: 10.1371/journal.pone.0065772. Print 2013.
9
Concern and utilization of smart phone based telemedical health-care in allied neurological speciality: Real health-care model of future India.联合神经专科领域对基于智能手机的远程医疗保健的关注与应用：未来印度的真实医疗保健模式。
Neurol India. 2017 Jan-Feb;65(1):232-233. doi: 10.4103/0028-3886.198169.
10
Emerging Artificial Intelligence-Empowered mHealth: Scoping Review.新兴人工智能赋能的移动医疗：范围综述。
JMIR Mhealth Uhealth. 2022 Jun 9;10(6):e35053. doi: 10.2196/35053.

引用本文的文献

1
Role of artificial intelligence-based ocular biomarkers in hepatobiliary diseases: A scoping review.基于人工智能的眼部生物标志物在肝胆疾病中的作用：一项范围综述。
World J Hepatol. 2025 Aug 27;17(8):109801. doi: 10.4254/wjh.v17.i8.109801.
2
AI-assisted early screening, diagnosis, and intervention for autism in young children.人工智能辅助幼儿自闭症的早期筛查、诊断及干预。
Front Psychiatry. 2025 Apr 14;16:1513809. doi: 10.3389/fpsyt.2025.1513809. eCollection 2025.
3
Leveraging large language models for automated detection of velopharyngeal dysfunction in patients with cleft palate.利用大语言模型自动检测腭裂患者的腭咽功能障碍。
Front Digit Health. 2025 Mar 28;7:1552746. doi: 10.3389/fdgth.2025.1552746. eCollection 2025.
4
Enhancing Ophthalmic Diagnosis and Treatment with Artificial Intelligence.利用人工智能提升眼科诊断与治疗水平。
Medicina (Kaunas). 2025 Feb 28;61(3):433. doi: 10.3390/medicina61030433.
5
Effective questionnaire-based prediction models for type 2 diabetes across several ethnicities: a model development and validation study.基于问卷的跨多种族2型糖尿病有效预测模型：一项模型开发与验证研究。
EClinicalMedicine. 2023 Sep 25;64:102235. doi: 10.1016/j.eclinm.2023.102235. eCollection 2023 Oct.
6
mHealth-Supported Hearing Health Training for Early Childhood Development Practitioners: An Intervention Study.移动医疗支持的婴幼儿听力健康培训：一项干预研究。
Int J Environ Res Public Health. 2022 Oct 31;19(21):14228. doi: 10.3390/ijerph192114228.
7
Community-based adult hearing care provided by community healthcare workers using mHealth technologies.社区卫生工作者利用移动医疗技术提供的基于社区的成人听力保健。
Glob Health Action. 2022 Dec 31;15(1):2095784. doi: 10.1080/16549716.2022.2095784.
8
Pursuing Connectivity in Cardio-Oncology Care-The Future of Telemedicine and Artificial Intelligence in Providing Equity and Access to Rural Communities.追求心血管肿瘤护理中的连通性——远程医疗和人工智能在为农村社区提供公平医疗服务和就医机会方面的未来。
Front Cardiovasc Med. 2022 Jun 13;9:927769. doi: 10.3389/fcvm.2022.927769. eCollection 2022.
9
Scalable data systems require creating a culture of continuous learning.可扩展的数据系统需要营造持续学习的文化氛围。
EBioMedicine. 2021 Dec;74:103738. doi: 10.1016/j.ebiom.2021.103738. Epub 2021 Dec 16.

本文引用的文献

1
Machine Learning in Dermatology: Current Applications, Opportunities, and Limitations.皮肤病学中的机器学习：当前应用、机遇与局限
Dermatol Ther (Heidelb). 2020 Jun;10(3):365-386. doi: 10.1007/s13555-020-00372-0. Epub 2020 Apr 6.
2
Characteristics of Americans With Primary Care and Changes Over Time, 2002-2015.美国人的初级保健特征及其随时间的变化，2002-2015 年。
JAMA Intern Med. 2020 Mar 1;180(3):463-466. doi: 10.1001/jamainternmed.2019.6282.
3
Robust Detection of Parkinson's Disease Using Harvested Smartphone Voice Data: A Telemedicine Approach.利用采集的智能手机语音数据对帕金森病进行稳健检测：一种远程医疗方法。
Telemed J E Health. 2020 Mar;26(3):327-334. doi: 10.1089/tmj.2018.0271. Epub 2019 Apr 26.
4
The Current State of Mobile Phone Apps for Monitoring Heart Rate, Heart Rate Variability, and Atrial Fibrillation: Narrative Review.用于监测心率、心率变异性和心房颤动的手机应用程序的现状：叙事性综述。
JMIR Mhealth Uhealth. 2019 Feb 15;7(2):e11606. doi: 10.2196/11606.
5
Smartphone app for non-invasive detection of anemia using only patient-sourced photos.仅使用患者提供的照片即可通过智能手机应用程序进行非侵入性贫血检测。
Nat Commun. 2018 Dec 4;9(1):4924. doi: 10.1038/s41467-018-07262-2.
6
Automated diabetic retinopathy detection in smartphone-based fundus photography using artificial intelligence.基于人工智能的智能手机眼底摄影糖尿病视网膜病变自动检测。
Eye (Lond). 2018 Jun;32(6):1138-1144. doi: 10.1038/s41433-018-0064-9. Epub 2018 Mar 9.
7
Smartphone-based blood pressure monitoring via the oscillometric finger-pressing method.基于示波法的智能手机指压式血压监测。
Sci Transl Med. 2018 Mar 7;10(431). doi: 10.1126/scitranslmed.aap8674.
8
Chronic Noncommunicable Diseases in 6 Low- and Middle-Income Countries: Findings From Wave 1 of the World Health Organization's Study on Global Ageing and Adult Health (SAGE).6个低收入和中等收入国家的慢性非传染性疾病：世界卫生组织全球老龄化与成人健康研究（SAGE）第1轮调查结果
Am J Epidemiol. 2017 Mar 15;185(6):414-428. doi: 10.1093/aje/kww125.

Improving community health-care screenings with smartphone-based AI technologies.

作者信息

Mantena Sreekar, Celi Leo Anthony, Keshavjee Salmaan, Beratarrechea Andrea

机构信息

Department of Statistics and Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA.

Laboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, MA, USA; Division of Pulmonary, Critical Care and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA; Department of Biostatistics, Harvard T H Chan School of Public Health, Boston, MA, USA.

出版信息

Lancet Digit Health. 2021 May;3(5):e280-e282. doi: 10.1016/S2589-7500(21)00054-6.

DOI:10.1016/S2589-7500(21)00054-6
PMID:33890577
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9144349/
Abstract
摘要