Sharing Data Is Essential for the Future of AI in Medical Imaging

Overview

Journal Radiol Artif Intell

Specialties Biomedical Engineering
Radiology

Date 2024 Jan 17

PMID 38231036

Authors

Laura C Bell

Efrat Shimron

Affiliations

Soon will be listed here.

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References

Lyu M, Mei L, Huang S, Liu S, Li Y, Yang K . M4Raw: A multi-contrast, multi-repetition, multi-channel MRI k-space dataset for low-field MRI research. Sci Data. 2023; 10(1):264. PMC: 10172399. DOI: 10.1038/s41597-023-02181-4. View

Clark K, Vendt B, Smith K, Freymann J, Kirby J, Koppel P . The Cancer Imaging Archive (TCIA): maintaining and operating a public information repository. J Digit Imaging. 2013; 26(6):1045-57. PMC: 3824915. DOI: 10.1007/s10278-013-9622-7. View

Kurdi B, Lozano S, Banaji M . Introducing the Open Affective Standardized Image Set (OASIS). Behav Res Methods. 2016; 49(2):457-470. DOI: 10.3758/s13428-016-0715-3. View

Ollier W, Sprosen T, Peakman T . UK Biobank: from concept to reality. Pharmacogenomics. 2005; 6(6):639-46. DOI: 10.2217/14622416.6.6.639. View

Van Essen D, Smith S, Barch D, Behrens T, Yacoub E, Ugurbil K . The WU-Minn Human Connectome Project: an overview. Neuroimage. 2013; 80:62-79. PMC: 3724347. DOI: 10.1016/j.neuroimage.2013.05.041. View

Wynants L, Van Calster B, Collins G, Riley R, Heinze G, Schuit E . Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal. BMJ. 2020; 369:m1328. PMC: 7222643. DOI: 10.1136/bmj.m1328. View

Leiner T, Bennink E, Mol C, Kuijf H, Veldhuis W . Bringing AI to the clinic: blueprint for a vendor-neutral AI deployment infrastructure. Insights Imaging. 2021; 12(1):11. PMC: 7855120. DOI: 10.1186/s13244-020-00931-1. View

Seyyed-Kalantari L, Zhang H, McDermott M, Chen I, Ghassemi M . Underdiagnosis bias of artificial intelligence algorithms applied to chest radiographs in under-served patient populations. Nat Med. 2021; 27(12):2176-2182. PMC: 8674135. DOI: 10.1038/s41591-021-01595-0. View

Lim Y, Toutios A, Bliesener Y, Tian Y, Lingala S, Vaz C . A multispeaker dataset of raw and reconstructed speech production real-time MRI video and 3D volumetric images. Sci Data. 2021; 8(1):187. PMC: 8292336. DOI: 10.1038/s41597-021-00976-x. View

10.

Yan A, McAuley J, Lu X, Du J, Chang E, Gentili A . RadBERT: Adapting Transformer-based Language Models to Radiology. Radiol Artif Intell. 2022; 4(4):e210258. PMC: 9344353. DOI: 10.1148/ryai.210258. View

11.

Yoon W, Oh J, Chae E, Kim H, Lee S, Kim K . Automatic Detection of Pectoral Muscle Region for Computer-Aided Diagnosis Using MIAS Mammograms. Biomed Res Int. 2016; 2016:5967580. PMC: 5099485. DOI: 10.1155/2016/5967580. View

12.

Inati S, Naegele J, Zwart N, Roopchansingh V, Lizak M, Hansen D . ISMRM Raw data format: A proposed standard for MRI raw datasets. Magn Reson Med. 2016; 77(1):411-421. PMC: 4967038. DOI: 10.1002/mrm.26089. View

13.

Willemink M, Koszek W, Hardell C, Wu J, Fleischmann D, Harvey H . Preparing Medical Imaging Data for Machine Learning. Radiology. 2020; 295(1):4-15. PMC: 7104701. DOI: 10.1148/radiol.2020192224. View

14.

Knoll F, Zbontar J, Sriram A, Muckley M, Bruno M, Defazio A . fastMRI: A Publicly Available Raw k-Space and DICOM Dataset of Knee Images for Accelerated MR Image Reconstruction Using Machine Learning. Radiol Artif Intell. 2020; 2(1):e190007. PMC: 6996599. DOI: 10.1148/ryai.2020190007. View

15.

Shimron E, Tamir J, Wang K, Lustig M . Implicit data crimes: Machine learning bias arising from misuse of public data. Proc Natl Acad Sci U S A. 2022; 119(13):e2117203119. PMC: 9060447. DOI: 10.1073/pnas.2117203119. View

16.

Jack Jr C, Bernstein M, Fox N, Thompson P, Alexander G, Harvey D . The Alzheimer's Disease Neuroimaging Initiative (ADNI): MRI methods. J Magn Reson Imaging. 2008; 27(4):685-91. PMC: 2544629. DOI: 10.1002/jmri.21049. View

17.

Stupple A, Singerman D, Celi L . The reproducibility crisis in the age of digital medicine. NPJ Digit Med. 2019; 2:2. PMC: 6550262. DOI: 10.1038/s41746-019-0079-z. View

18.

Chen R, Wang J, Williamson D, Chen T, Lipkova J, Lu M . Algorithmic fairness in artificial intelligence for medicine and healthcare. Nat Biomed Eng. 2023; 7(6):719-742. PMC: 10632090. DOI: 10.1038/s41551-023-01056-8. View

19.

Varoquaux G, Cheplygina V . Machine learning for medical imaging: methodological failures and recommendations for the future. NPJ Digit Med. 2022; 5(1):48. PMC: 9005663. DOI: 10.1038/s41746-022-00592-y. View

20.

Hansen M, Sorensen T . Gadgetron: an open source framework for medical image reconstruction. Magn Reson Med. 2012; 69(6):1768-76. DOI: 10.1002/mrm.24389. View