Sharing Data Is Essential for the Future of AI in Medical Imaging-Reference-Cited by-同舟云学术

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

Published:2024-01-01 Issue:1 Volume:6 Page:
ISSN:2638-6100
Container-title:Radiology: Artificial Intelligence
language:en
Short-container-title:Radiology: Artificial Intelligence

Author:

Bell Laura C.¹^ORCID,Shimron Efrat¹^ORCID

Affiliation:

1. From the Clinical Imaging Group, Genentech, 1 DNA Way, South San Francisco, CA 94080 (L.C.B.); and Department of Electrical and Computer Engineering and Department of Biomedical Engineering, Technion-Israel Institute of Technology, Haifa, Israel (E.S.).

Publisher

Radiological Society of North America (RSNA)

Subject

Artificial Intelligence,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Link

http://pubs.rsna.org/doi/pdf/10.1148/ryai.230337

Reference32 articles.

1. The reproducibility crisis in the age of digital medicine

2. Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal

3. Prediction models for diagnosis and prognosis in Covid-19

4. Machine learning for medical imaging: methodological failures and recommendations for the future

5. Informatics methods to enable sharing of quantitative imaging research data

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