Foundational artificial intelligence models and modern medical practice is a research paper published in BJR|Artificial Intelligence (2024). On theSindex it has a DataRank of 0.269. It has been cited 5 times.
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Base Score Contribution
0.269
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 →NIH
Grant: R01-CA246704
NIH
Grant: R01-CA240639
NIH
Grant: R01-HL171376
NIH
Grant: R15-EB030356
NIH
Grant: R03-EB032943
NIH
Grant: U01-DK127384-02S1
NIH
Grant: U01-CA268808
NCI NIH HHS
Grant: R01 CA246704
NCI NIH HHS
Grant: R01 CA240639
NIDDK NIH HHS
Grant: U01 DK127384
NIBIB NIH HHS
Grant: R15 EB030356
NCI NIH HHS
Grant: U01 CA268808
NHLBI NIH HHS
Grant: R01 HL171376
NIBIB NIH HHS
Grant: R03 EB032943
National Institutes of Health
Grant: 5R01CA240639-03
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National Institutes of Health
Grant: 1R01HL171376-01A1
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National Institutes of Health
Grant: 1R03EB032943-01
Application of machine learning for fast prediction of MRI-induced RF heating in patients with implanted conductive leads
National Institutes of Health
Grant: 5U01DK127384-02
Data Coordinating Center for the Type 1 Diabetes in Acute Pancreatitis Consortium
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Grant: 5R01CA246704-04
Cyst-X: Interpretable Deep Learning Based Risk Stratification of Pancreatic Cystic Tumors
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Grant: 1U01CA268808-01A1
Hybrid Intelligence for Trustable Diagnosis And Patient Management of Prostate Cancer (HIT-PIRADS)
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Grant: 5R01CA030356-27
EBV Genome Expression:Localization of Specific Functions
FWCI
1.19
Citation Percentile
0.8%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals