• 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

Mobile health skin cancer risk assessment campaign using artificial intelligence on a population-wide scale: a retrospective cohort analysis.

作者信息

Sangers T E, Nijsten T, Wakkee M

机构信息

Department of Dermatology, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, The Netherlands.

出版信息

J Eur Acad Dermatol Venereol. 2021 Nov;35(11):e772-e774. doi: 10.1111/jdv.17442. Epub 2021 Jun 16.

DOI:10.1111/jdv.17442
PMID:34077573
Abstract
摘要

相似文献

1
Mobile health skin cancer risk assessment campaign using artificial intelligence on a population-wide scale: a retrospective cohort analysis.在全人群范围内使用人工智能进行的移动健康皮肤癌风险评估活动:一项回顾性队列分析
J Eur Acad Dermatol Venereol. 2021 Nov;35(11):e772-e774. doi: 10.1111/jdv.17442. Epub 2021 Jun 16.
2
Mobile teledermatology for melanoma detection: Assessment of the validity in the framework of a population-based skin cancer awareness campaign in northern Italy.用于黑色素瘤检测的移动远程皮肤病学:在意大利北部一项基于人群的皮肤癌宣传活动框架内的有效性评估。
J Am Acad Dermatol. 2019 Jul;81(1):257-260. doi: 10.1016/j.jaad.2019.02.036. Epub 2019 Feb 21.
3
For a critical appraisal of artificial intelligence in healthcare: The problem of bias in mHealth.人工智能在医疗保健领域的批判性评价:移动医疗中的偏见问题。
J Eval Clin Pract. 2021 Jun;27(3):513-519. doi: 10.1111/jep.13528. Epub 2020 Dec 23.
4
The clinical utility of teledermoscopy in the era of telemedicine.远程皮肤病学在远程医疗时代的临床应用。
Dermatol Ther. 2021 Mar;34(2):e14766. doi: 10.1111/dth.14766. Epub 2021 Jan 21.
5
Periodic Manual Algorithm Updates and Generalizability: A Developer's Response. Comment on "Evaluation of Four Artificial Intelligence-Assisted Self-Diagnosis Apps on Three Diagnoses: Two-Year Follow-Up Study".定期人工算法更新与通用性:开发者回应。对“三种诊断下四款人工智能辅助自我诊断应用程序的评估:两年随访研究”的评论
J Med Internet Res. 2021 Jun 16;23(6):e26514. doi: 10.2196/26514.
6
Human-computer collaboration for skin cancer recognition.人机协作进行皮肤癌识别。
Nat Med. 2020 Aug;26(8):1229-1234. doi: 10.1038/s41591-020-0942-0. Epub 2020 Jun 22.
7
Dermoscopy diagnosis of cancerous lesions utilizing dual deep learning algorithms via visual and audio (sonification) outputs: Laboratory and prospective observational studies.利用视觉和音频(声音合成)输出的双深度学习算法进行癌性病变的皮肤镜诊断:实验室和前瞻性观察研究。
EBioMedicine. 2019 Feb;40:176-183. doi: 10.1016/j.ebiom.2019.01.028. Epub 2019 Jan 20.
8
[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.
9
Evaluation of artificial intelligence-based telemedicine screening for retinopathy of prematurity.基于人工智能的早产儿视网膜病变远程医疗筛查评估。
J AAPOS. 2020 Jun;24(3):160-162. doi: 10.1016/j.jaapos.2020.01.014. Epub 2020 Apr 11.
10
Managing gestational diabetes mellitus using a smartphone application with artificial intelligence (SineDie) during the COVID-19 pandemic: Much more than just telemedicine.在 COVID-19 大流行期间使用具有人工智能的智能手机应用程序(SineDie)管理妊娠糖尿病:远不止远程医疗。
Diabetes Res Clin Pract. 2020 Nov;169:108396. doi: 10.1016/j.diabres.2020.108396. Epub 2020 Sep 3.

引用本文的文献

1
Mobile health apps for skin cancer triage in the general population: a qualitative study on healthcare providers' perspectives.针对普通人群皮肤癌分诊的移动健康应用程序:一项关于医疗服务提供者观点的定性研究
BMC Cancer. 2025 May 9;25(1):851. doi: 10.1186/s12885-025-14244-3.
2
An artificial intelligence based app for skin cancer detection evaluated in a population based setting.一款基于人工智能的皮肤癌检测应用程序在基于人群的环境中进行了评估。
NPJ Digit Med. 2023 May 20;6(1):90. doi: 10.1038/s41746-023-00831-w.
3
Quality, Usability, and Effectiveness of mHealth Apps and the Role of Artificial Intelligence: Current Scenario and Challenges.
移动医疗应用程序的质量、可用性和有效性以及人工智能的作用:现状与挑战。
J Med Internet Res. 2023 May 4;25:e44030. doi: 10.2196/44030.
4
COVID-19 related decline in cancer screenings most pronounced for elderly patients and women in Germany: a claims data analysis.德国的癌症筛查因 COVID-19 而减少,老年患者和女性受影响最明显:一项索赔数据分析。
J Cancer Res Clin Oncol. 2023 Jul;149(8):5345-5367. doi: 10.1007/s00432-022-04433-z. Epub 2022 Nov 27.
5
Validation of a Market-Approved Artificial Intelligence Mobile Health App for Skin Cancer Screening: A Prospective Multicenter Diagnostic Accuracy Study.一种市售人工智能移动健康应用程序用于皮肤癌筛查的验证:一项前瞻性多中心诊断准确性研究。
Dermatology. 2022;238(4):649-656. doi: 10.1159/000520474. Epub 2022 Feb 4.
6
Editorial: The Emerging Role of Artificial Intelligence in Dermatology.社论:人工智能在皮肤病学中的新兴作用
Front Med (Lausanne). 2021 Nov 17;8:751649. doi: 10.3389/fmed.2021.751649. eCollection 2021.
7
Views on mobile health apps for skin cancer screening in the general population: an in-depth qualitative exploration of perceived barriers and facilitators.普通人群对皮肤癌筛查移动健康应用的看法:对感知障碍和促进因素的深入定性探索。
Br J Dermatol. 2021 Nov;185(5):961-969. doi: 10.1111/bjd.20441. Epub 2021 Jul 5.