Summary of the National Cancer Institute 2023 Virtual Workshop on Medical Image De-identification-Part 1: Report of the MIDI Task Group - Best Practices and Recommendations, Tools for Conventional Approaches to De-identification, International Approaches to De-identification, and Industry Panel on Image De-identification

被引：1

作者：

Clunie, David ^{[1
]}

Prior, Fred ^{[2
]}

Rutherford, Michael ^{[2
]}

Moore, Stephen ^{[3
]}

Parker, William ^{[4
]}

Kondylakis, Haridimos ^{[5
]}

Ludwigs, Christian ^{[6
]}

Klenk, Juergen ^{[7
]}

Lou, Bob ^{[8
]}

O'Sullivan, Lawrence ^{[9
]}

Marcus, Dan ^{[10
]}

Dobes, Jiri ^{[11
]}

Gutman, Abraham ^{[12
]}

Farahani, Keyvan ^{[13
]}

机构：

[1] PixelMed Publishing, Bangor, PA 18013 USA

[2] Univ Arkansas Med Sci, Little Rock, AR USA

[3] Washington Univ, Sch Med, St Louis, MO USA

[4] Univ British Columbia, Vancouver, BC, Canada

[5] Fdn Res & Technol Hellas FORTH, Inst Comp Sci, Iraklion, Greece

[6] Aigora GmbH, Munich, Germany

[7] Deloitte Consulting, New York, NY USA

[8] Google, Mountain View, CA USA

[9] IBIS, Princeton, NJ USA

[10] Flywheel, Minneapolis, MN USA

[11] John Snow Labs, Lewes, DE USA

[12] AG Mednet, Boston, MA USA

[13] NHLBI, NIH, Bethesda, MD USA

来源：

JOURNAL OF IMAGING INFORMATICS IN MEDICINE | 2025年 / 38卷 / 01期

基金：

美国国家卫生研究院;

关键词：

De-identification; Best practices; DICOM; International concerns; Workflow; RADIOLOGISTS WHITE PAPER; CANADIAN ASSOCIATION;

D O I：

10.1007/s10278-024-01182-y

中图分类号：

R8 [特种医学]; R445 [影像诊断学];

学科分类号：

1002 ; 100207 ; 1009 ;

摘要：

De-identification of medical images intended for research is a core requirement for data-sharing initiatives, particularly as the demand for data for artificial intelligence (AI) applications grows. The Center for Biomedical Informatics and Information Technology (CBIIT) of the US National Cancer Institute (NCI) convened a virtual workshop with the intent of summarizing the state of the art in de-identification technology and processes and exploring interesting aspects of the subject. This paper summarizes the highlights of the first day of the workshop, the recordings, and presentations of which are publicly available for review. The topics covered included the report of the Medical Image De-Identification Initiative (MIDI) Task Group on best practices and recommendations, tools for conventional approaches to de-identification, international approaches to de-identification, and an industry panel.

引用

页码：1 / 15

页数：15

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