文献检索文档翻译深度研究
Suppr Zotero 插件Zotero 插件
邀请有礼套餐&价格历史记录

新学期,新优惠

限时优惠:9月1日-9月22日

30天高级会员仅需29元

1天体验卡首发特惠仅需5.99元

了解详情
不再提醒
插件&应用
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
高级版
套餐订阅购买积分包
AI 工具
文献检索文档翻译深度研究
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 @ 2025

新型人工智能医疗服务平台的提案。

Proposal of a novel Artificial Intelligence Distribution Service platform for healthcare.

机构信息

School of Computing, University of Eastern Finland, Kuopio, Pohjois-Savo, FI-70211, Finland.

Department of Nursing Science, University of Eastern Finland, Kuopio, Pohjois-Savo, FI-70211, Finland.

出版信息

F1000Res. 2021 Mar 26;10:245. doi: 10.12688/f1000research.36775.1. eCollection 2021.


DOI:10.12688/f1000research.36775.1
PMID:34804493
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8577055/
Abstract

In this paper, we focus on presenting a novel AI-based service platform proposal called AIDI (Artificial Intelligence Distribution Interface for healthcare). AIDI proposal is based on our earlier research work in which we evaluated AI-based healthcare services which have been used successfully in practice among healthcare service providers. We have also used our systematic review about AI-based healthcare services benefits in various healthcare sectors. This novel AIDI proposal contains services for health assessment, healthcare evaluation, and cognitive assistant which can be used by researchers, healthcare service provides, clinicians, and consumers. AIDI integrates multiple health databases and data lakes with AI service providers and open access AI algorithms. It also gives healthcare service providers open access to state-of-the-art AI-based diagnosis and analysis services. This paper provides a description of AIDI platform, how it could be developed, what can become obstacles in the development, and how the platform can provide benefits to healthcare when it will be operational in the future.

摘要

在本文中,我们专注于提出一个名为 AIDI(医疗人工智能分发接口)的新型基于人工智能的服务平台提案。AIDI 提案是基于我们早期的研究工作,我们评估了在医疗服务提供者中成功应用的基于人工智能的医疗服务。我们还使用了我们关于人工智能在各种医疗保健领域的医疗服务效益的系统评价。这个新的 AIDI 提案包含健康评估、医疗保健评估和认知助手服务,可供研究人员、医疗服务提供者、临床医生和消费者使用。AIDI 将多个健康数据库和数据湖与人工智能服务提供商和开放访问人工智能算法集成在一起。它还为医疗服务提供商提供了对最先进的基于人工智能的诊断和分析服务的开放访问。本文描述了 AIDI 平台,它如何开发,开发过程中可能遇到的障碍,以及未来投入运营时它将如何为医疗保健带来益处。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fea/8577055/0a7e22157bb8/f1000research-10-39838-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fea/8577055/03e64afa9d8d/f1000research-10-39838-g0000.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fea/8577055/266be4ee2b24/f1000research-10-39838-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fea/8577055/0a7e22157bb8/f1000research-10-39838-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fea/8577055/03e64afa9d8d/f1000research-10-39838-g0000.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fea/8577055/266be4ee2b24/f1000research-10-39838-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fea/8577055/0a7e22157bb8/f1000research-10-39838-g0002.jpg

相似文献

[1]
Proposal of a novel Artificial Intelligence Distribution Service platform for healthcare.

F1000Res. 2021

[2]
Real-world application, challenges and implication of artificial intelligence in healthcare: an essay.

Pan Afr Med J. 2022

[3]
[The Concept of a Healthcare AI Platform].

Gan To Kagaku Ryoho. 2023-6

[4]
Preparing for the future: How organizations can prepare boards, leaders, and risk managers for artificial intelligence.

Healthc Manage Forum. 2021-11

[5]
Artificial intelligence in healthcare: opportunities and risk for future.

Gac Sanit. 2021

[6]
Application of Artificial Intelligence-Based Technologies in the Healthcare Industry: Opportunities and Challenges.

Int J Environ Res Public Health. 2021-1-1

[7]
Healthcare Systems and Artificial Intelligence: Focus on Challenges and the International Regulatory Framework.

Pharm Res. 2024-4

[8]
Commercial Adoption of AI in the Healthcare Sector: An Exploratory Analysis of S&P500 Companies.

Stud Health Technol Inform. 2020-6-16

[9]
Use of AI-based tools for healthcare purposes: a survey study from consumers' perspectives.

BMC Med Inform Decis Mak. 2020-7-22

[10]
AI in Healthcare.

Stud Health Technol Inform. 2021-12-15

引用本文的文献

[1]
Physicians' attitudes and acceptance towards artificial intelligence in medical care: a qualitative study in Germany.

Front Digit Health. 2025-7-14

[2]
Opportunities, challenges, and requirements for Artificial Intelligence (AI) implementation in Primary Health Care (PHC): a systematic review.

BMC Prim Care. 2025-6-9

[3]
Navigating the AI Revolution in Medicine-Adopting Strategies for Medical Education.

Med Sci Educ. 2024-12-27

[4]
Role of artificial intelligence in pediatric intensive care: a survey of healthcare staff perspectives in Saudi Arabia.

Front Pediatr. 2025-2-24

[5]
Challenges and applications in generative AI for clinical tabular data in physiology.

Pflugers Arch. 2025-4

[6]
Artificial Intelligence Readiness, Perceptions, and Educational Needs Among Dental Students: A Cross-Sectional Study.

Clin Exp Dent Res. 2024-8

[7]
The Sociodemographic Biases in Machine Learning Algorithms: A Biomedical Informatics Perspective.

Life (Basel). 2024-5-21

[8]
Capturing artificial intelligence applications' value proposition in healthcare - a qualitative research study.

BMC Health Serv Res. 2024-4-3

[9]
Comparison of artificial intelligence-assisted informed consent obtained before coronary angiography with the conventional method: Medical competence and ethical assessment.

Digit Health. 2023-11-30

[10]
Providing Care: Intrinsic Human-Machine Teams and Data.

Entropy (Basel). 2022-9-27

本文引用的文献

[1]
Human, All Too Human? An All-Around Appraisal of the "Artificial Intelligence Revolution" in Medical Imaging.

Front Psychol. 2021-9-28

[2]
A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis.

Lancet Digit Health. 2019-10

[3]
Imaging biomarkers in upper gastrointestinal cancers.

BJR Open. 2019-6-24

[4]
How Big Data and Artificial Intelligence Can Help Better Manage the COVID-19 Pandemic.

Int J Environ Res Public Health. 2020-5-2

[5]
Characterizing Horizontal and Vertical Perspectives of Spatial Equity for Various Urban Green Spaces: A Case Study of Wuhan, China.

Front Public Health. 2020-2-19

[6]
Improving Clinical Trial Participant Prescreening With Artificial Intelligence (AI): A Comparison of the Results of AI-Assisted vs Standard Methods in 3 Oncology Trials.

Ther Innov Regul Sci. 2020-1

[7]
International evaluation of an AI system for breast cancer screening.

Nature. 2020-1-1

[8]
Digital and online symptom checkers and health assessment/triage services for urgent health problems: systematic review.

BMJ Open. 2019-8-1

[9]
Effectiveness of the Chest Strap Electrocardiogram to Detect Atrial Fibrillation.

Am J Cardiol. 2019-2-23

[10]
Clinically applicable deep learning for diagnosis and referral in retinal disease.

Nat Med. 2018-8-13

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

推荐工具

医学文档翻译智能文献检索