Access through your institution

通过您的机构访问

Buy or subscribe

购买或订阅

India is actively promoting a digital health ecosystem to support its quest for universal healthcare. Quality-graded health data can provide exceptional decision-making support in this endeavor. The biggest hurdle to developing artificial intelligence (AI)-enabled healthcare technologies in India is the availability of high-quality annotated data for South Asians, especially Indians, that can be used to train and validate AI applications.The large pool of multimodal data collected during patient treatment journeys or disease-specific surveillance provides unique archival opportunities for large medical datasets.

印度正在积极推动数字健康生态系统，以支持其对全民医疗保健的追求。质量分级的健康数据可以在这项工作中提供出色的决策支持。在印度开发人工智能（AI）支持的医疗保健技术的最大障碍是为南亚人（尤其是印度人）提供高质量的注释数据，这些数据可用于训练和验证AI应用程序。在患者治疗旅程或特定疾病监测期间收集的大量多模式数据为大型医学数据集提供了独特的存档机会。

Once annotated, medical images such as X-ray, computerized tomography (CT), magnetic resonance imaging (MRI), ultrasound, and whole-slide images acquired during an individual’s visit to healthcare institutions are a rich resource for training AI algorithms. Such endeavors include the Medical Imaging Databank of the Valencia Region, PathLAKE, The Cancer Imaging Archive1, and the Medical AI Data for All initiative2.

一旦注释，在个人访问医疗机构期间获得的X射线，计算机断层扫描（CT），磁共振成像（MRI），超声波和全幻灯片图像等医学图像是训练AI算法的丰富资源。这些努力包括巴伦西亚地区的医学成像数据库，PathLAKE，癌症成像档案1以及所有initiative2的医学AI数据。

Some of the existing medical imaging datasets from India are the IN-CXR (an open dataset of chest radiography for tuberculosis), the Indian Diabetic Retinopathy Image Dataset (IDRiD)3, Chákṣu (a glaucoma-specific fundus image database4), and CHAVI-RO (a comprehensive digital archive of cancer imaging from radiation oncology5).

来自印度的一些现有医学成像数据集是IN-CXR（结核病胸部X线摄影的开放数据集），印度糖尿病视网膜病变图像数据集（IDRiD）3，Chákṣu（青光眼特异性眼底图像数据库4）和CHAVI-RO（放射肿瘤学癌症成像的综合数字档案5）。

However, India has no centrally coordinated and discoverable repository for medical imaging data with established interoperable standards..

然而，印度没有中央协调和可发现的医学成像数据存储库，具有既定的可互操作标准。。

This is a preview of subscription content, access via your institution

这是订阅内容的预览，可通过您的机构访问

Access options

访问选项

Access through your institution

通过您的机构访问

Access through your institution

通过您的机构访问

Change institution

变革机构

Buy or subscribe

购买或订阅

Access Nature and 54 other Nature Portfolio journalsGet Nature+, our best-value online-access subscription24,99 € / 30 dayscancel any timeLearn moreSubscription info for Chinese customersWe have a dedicated website for our Chinese customers. Please go to naturechina.com to subscribe to this journal.Go to naturechina.comBuy this articlePurchase on SpringerLinkInstant access to full article PDFBuy nowPrices may be subject to local taxes which are calculated during checkout.

Access Nature和54篇其他Nature Portfolio journalsGet Nature+，我们最有价值的在线订阅24,99欧元/30天，随时为中国客户获取更多订阅信息我们为中国客户提供了一个专门的网站。请访问naturechina.com订阅本期刊。访问naturechina.comBuy本文在Springerlink上购买即时访问完整文章PDFBuy now价格可能需要缴纳结帐时计算的地方税。

Additional access options:

其他访问选项：

Log in

登录

Learn about institutional subscriptions

了解机构订阅

Read our FAQs

阅读我们的常见问题

Contact customer support

联系客户支持

ReferencesClark, K. et al. J. Digit. Imaging 26, 1045–1057 (2013).Article

参考文献Clark，K.等人，J.Digit。影像学261045-1057（2013）。文章

PubMed

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Saenz, A., Chen, E., Marklund, H. & Rajpurkar, P. Lancet Digit. Health 6, e6–e8 (2024).Article

。健康6，e6-e8（2024）。文章

CAS

中科院

PubMed

PubMed

Google Scholar

谷歌学者

Porwal, P. et al. Data 3, 25 (2018).Article

Porwal，P.等人，数据3，25（2018）。文章

Google Scholar

谷歌学者

Kumar, J. R. H. et al. Sci. Data 10, 70 (2023).Article

Kumar，J.R.H.等人，科学。日期：2023年10月70日。文章

PubMed

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Kundu, S. et al. J. Digit. Imaging 35, 408–423 (2022).Article

Kundu，S。等人J。Digit。成像35408-423（2022）。文章

PubMed

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Stadler, C. B. et al. J. Digit. Imaging 34, 105–115 (2021).Article

Stadler，C.B.等人，J.Digit。图像34105-115（2021）。文章

PubMed

PubMed

Google Scholar

谷歌学者

Monarch, R. M. Human-in-the-Loop Machine Learning: Active Learning and Annotation for Human-Centered AI (Manning Publications Co., 2021).Majumder, P. P. Evol. Anthropol. 6, 100–110 (1998).Article

Monarch，R.M。人在环机器学习：以人为中心的人工智能的主动学习和注释（Manning Publications Co.，2021）。Majumder，P.P.Evol。人类。6100-110（1998）。文章

Google Scholar

谷歌学者

Arora, A. et al. Nat. Med. 29, 2929–2938 (2023).Article

Arora，A.等人，《国家医学》2929-2938（2023）。文章

CAS

中科院

PubMed

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Majkowska, A. et al. Radiology 294, 421–431 (2020).Article

Majkowska，A.等人。放射学294421-431（2020）。文章

PubMed

PubMed

Google Scholar

谷歌学者

Download referencesAcknowledgementsOur work is supported by a research grant from the Indian Council of Medical Research, New Delhi (BMI/ICMR Image Bank, no. 19401-2022). We also thank the Department of Science and Technology, New Delhi, and the Government of Karnataka for support.Author informationAuthors and AffiliationsIndian Institute of Science, Bengaluru, Karnataka, IndiaDibyajyoti Maity, Rajesh Sundaresan & Debnath PalARTPARK (AI & Robotics Technology Park) at IISc, Bengaluru, Karnataka, IndiaRohit Satish, Dushyantsinh Anupsinh Jadeja, Raghu Dharmaraju & Vijay ChandruIndian Council of Medical Research, New Delhi, National Capital Territory of New Delhi, IndiaHarpreet SinghAuthorsDibyajyoti MaityView author publicationsYou can also search for this author in.

下载参考文献致谢我们的工作得到了新德里印度医学研究理事会（BMI/ICMR Image Bank，编号19401-2022）的研究资助。我们还感谢新德里科学技术部和卡纳塔克邦政府的支持。作者信息作者和所属机构印度科学研究所，班加罗尔，卡纳塔克邦，IndiaDibyajyoti Maity，Rajesh Sundaresan＆Debnath PalARTPARK（AI＆Robotics Technology Park），IISc，班加罗尔，卡纳塔克邦，IndiaRohit Satish，Dushyantsinh Anupsinh Jadeja，Raghu Dharmaraju＆Vijay ChandruIndian医学研究委员会，新德里国家首都新德里，IndiaHarpreet Singhauthorsdibyayyoti MaityView作者出版物您也可以在中搜索这位作者。

PubMed Google ScholarRohit SatishView author publicationsYou can also search for this author in

PubMed Google ScholarRohit SatishView作者出版物您也可以在

PubMed Google ScholarDushyantsinh Anupsinh JadejaView author publicationsYou can also search for this author in

PubMed Google ScholarDushyantsinh Anupsinh JadejaView作者出版物您也可以在

PubMed Google ScholarRaghu DharmarajuView author publicationsYou can also search for this author in

PubMed Google Scholaraghu DharmarajuView作者出版物您也可以在

PubMed Google ScholarVijay ChandruView author publicationsYou can also search for this author in

PubMed Google ScholarVijay ChandruView作者出版物您也可以在

PubMed Google ScholarRajesh SundaresanView author publicationsYou can also search for this author in

PubMed Google Scholarajesh SundaresanView作者出版物您也可以在

PubMed Google ScholarHarpreet SinghView author publicationsYou can also search for this author in

PubMed Google ScholarHarpreet SinghView作者出版物您也可以在

PubMed Google ScholarDebnath PalView author publicationsYou can also search for this author in

PubMed Google ScholarDebnath PalView作者出版物您也可以在

PubMed Google ScholarCorresponding authorCorrespondence to

PubMed谷歌学者通讯社

Debnath Pal.Ethics declarations

Debnath Pal.道德宣言

Competing interests

相互竞争的利益

The authors declare no competing interests.

作者声明没有利益冲突。

Rights and permissionsReprints and permissionsAbout this articleCite this articleMaity, D., Satish, R., Jadeja, D.A. et al. MIDAS: a new platform for quality-graded health data for AI-enabled healthcare in India.

权利和许可打印和许可本文引用本文Maity，D.，Satish，R.，Jadeja，D.A。等人MIDAS：印度人工智能医疗保健质量分级健康数据的新平台。

Nat Med (2024). https://doi.org/10.1038/s41591-024-03198-xDownload citationPublished: 29 August 2024DOI: https://doi.org/10.1038/s41591-024-03198-xShare this articleAnyone you share the following link with will be able to read this content:Get shareable linkSorry, a shareable link is not currently available for this article.Copy to clipboard.

Nat Med（2024）。https://doi.org/10.1038/s41591-024-03198-xDownload引文发布日期：2024年8月29日OI：https://doi.org/10.1038/s41591-024-03198-xShare本文与您共享以下链接的任何人都可以阅读此内容：获取可共享链接对不起，本文目前没有可共享的链接。复制到剪贴板。

Provided by the Springer Nature SharedIt content-sharing initiative

由Springer Nature SharedIt内容共享计划提供