AI and machine learning in medical imaging: key points from development to translation is a research paper published in BJR|Artificial Intelligence (2024). On theSindex it has a DataRank of 0.494. It has been cited 26 times.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
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Base Score Contribution
0.494
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →NCATS NIH HHS
Grant: UL1 TR004419
NCI NIH HHS
Grant: U01 CA232931
National Institutes of Health
Grant: 1R01HL164697-01
Survival prediction in patients with progressive fibrosing interstitial lung disease
National Institutes of Health
Grant: 5R01CA214981-03
Advanced breast tomosynthesis reconstruction for improved cancer diagnosis
National Institutes of Health
Grant: 5R01CA212382-04
Spectral precision imaging for early diagnosis of colorectal lesions with CT colonography
National Institute of Biomedical Imaging and Bioengineering
MIDRC
FWCI
6.79
Citation Percentile
1.0%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals