Search Page
Save citations to file
Email citations
Send citations to clipboard
Add to Collections
Add to My Bibliography
Create a file for external citation management software
Your saved search
Your RSS Feed
Filters
Results by year
Table representation of search results timeline featuring number of search results per year.
Year | Number of Results |
---|---|
2023 | 3 |
2024 | 2 |
Search Results
5 results
Results by year
Filters applied: . Clear all
It looks like you are searching for an author.
Results are currently sorted by Best Match. To see the newest results first,
change the sort order to Most Recent.
Page 1
Lipoprotein(a) in clinical practice: A guide for the clinician.
Prog Cardiovasc Dis. 2023 Jul-Aug;79:28-36. doi: 10.1016/j.pcad.2023.07.006. Epub 2023 Jul 27.
Prog Cardiovasc Dis. 2023.
PMID: 37516261
Review.
Artificial Intelligence in Neurosurgery: A State-of-the-Art Review from Past to Future.
Tangsrivimol JA, Schonfeld E, Zhang M, Veeravagu A, Smith TR, Härtl R, Lawton MT, El-Sherbini AH, Prevedello DM, Glicksberg BS, Krittanawong C.
Tangsrivimol JA, et al. Among authors: el sherbini ah.
Diagnostics (Basel). 2023 Jul 20;13(14):2429. doi: 10.3390/diagnostics13142429.
Diagnostics (Basel). 2023.
PMID: 37510174
Free PMC article.
Review.
Item in Clipboard
Machine Learning for Predicting Postoperative Atrial Fibrillation After Cardiac Surgery: A Scoping Review of Current Literature.
El-Sherbini AH, Shah A, Cheng R, Elsebaie A, Harby AA, Redfearn D, El-Diasty M.
El-Sherbini AH, et al.
Am J Cardiol. 2023 Dec 15;209:66-75. doi: 10.1016/j.amjcard.2023.09.079. Epub 2023 Oct 21.
Am J Cardiol. 2023.
PMID: 37871512
Review.
Item in Clipboard
Sex differences in the outcomes after transcatheter aortic valve replacement with newer generation devices: A meta-analysis.
El Sherbini AH, Servito M, Zidan A, Elsherif S, Ko G, Elgendy IY, Ya'Qoub L.
El Sherbini AH, et al.
Catheter Cardiovasc Interv. 2024 Apr;103(5):808-814. doi: 10.1002/ccd.30985. Epub 2024 Mar 10.
Catheter Cardiovasc Interv. 2024.
PMID: 38461377
Item in Clipboard
Machine Learning as a Diagnostic and Prognostic Tool for Predicting Thrombosis in Cancer Patients: A Systematic Review.
El-Sherbini AH, Coroneos S, Zidan A, Othman M.
El-Sherbini AH, et al.
Semin Thromb Hemost. 2024 Apr 11. doi: 10.1055/s-0044-1785482. Online ahead of print.
Semin Thromb Hemost. 2024.
PMID: 38604227
Item in Clipboard
Cite
Cite