Why thorough open data descriptions matters more than ever in the age of AI: opportunities for cardiovascular research-Reference-Cited by-同舟云学术

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Why thorough open data descriptions matters more than ever in the age of AI: opportunities for cardiovascular research

Published:2024-08-08 Issue: Volume: Page:
ISSN:2634-3916
Container-title:European Heart Journal - Digital Health
language:en
Short-container-title:

Author:

Engelhardt Sandy¹²³⁴⁵

Affiliation:

1. Department of Cardiology, Angiology and Pneumology, Heidelberg University Hospital , Im Neuenheimer Feld 410, D-69120 Heidelberg , Germany

2. Department of Cardiac Surgery, Heidelberg University Hospital , Im Neuenheimer Feld 410, D-69120 Heidelberg , Germany

3. German Centre for Cardiovascular Research (DZHK) , Partner Site Heidelberg/Mannheim , Germany

4. AI Health Innovation Cluster (AIH) , Heidelberg , Germany

5. Informatics for Life Institute , Heidelberg , Germany

Publisher

Oxford University Press (OUP)

Link

https://academic.oup.com/ehjdh/advance-article-pdf/doi/10.1093/ehjdh/ztae061/58906242/ztae061.pdf

Reference16 articles.

1. Cardiovascular disease screening in women: leveraging artificial intelligence and digital tools;Adedinsewo;Circ Res,2022

2. Surgical phase and instrument recognition: how to identify appropriate dataset splits;Kostiuchik;Int J Comput Assist Radiol Surg,2024

3. nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation;Isensee;Nat Methods,2021

4. The FAIR guiding principles for scientific data management and stewardship;Wilkinson;Sci Data,2016

5. Deep learning techniques for automatic MRI cardiac multi-structures segmentation and diagnosis: is the problem solved?;Bernard;IEEE Trans Med Imaging,2018

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