Live-donor kidney transplant outcome prediction (L-TOP) using artificial intelligence

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University Hospitals Coventry and Warwickshire NHS Trust
Surgical Services
Renal Transplant
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University Hospitals Coventry and Warwickshire NHS Trust
Surgical Services
Renal Transplant
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About Policies Privacy Notice Black Country Healthcare NHS Foundation Trust Coventry and Warwickshire Partnership NHS Trust Dudley Group NHS Foundation Trust George Eliot Hospital NHS Trust Sandwell and West Birmingham NHS Trust South Warwickshire University NHS Foundation Trust University Hospitals Birmingham NHS Foundation Trust University Hospitals Coventry and Warwickshire NHS Trust Walsall Healthcare NHS Trust

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Live-donor kidney transplant outcome prediction (L-TOP) using artificial intelligence

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Author

Ali, Hatem
Mohammed, Mahmoud
Molnar, Miklos Z
Fülöp, Tibor
Burke, Bernard
Shroff, Sunil
Shroff, Arun
Briggs, David
Krishnan, Nithya

Affiliation

Hatem Ali, Mahmoud Mohammed, Miklos Z Molnar, Tibor Fülöp, Bernard Burke, Sunil Shroff, Arun Shroff, David Briggs, Nithya Krishnan

Publication date

2024-04-29

Subject

Nephrology/Renal medicine

Metadata

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Abstract

No Abstract

Citation

Hatem Ali, Mahmoud Mohammed, Miklos Z Molnar, Tibor Fülöp, Bernard Burke, Sunil Shroff, Arun Shroff, David Briggs, Nithya Krishnan

Type

Article

Handle

http://hdl.handle.net/20.500.14200/4618

Additional Links

https://doi.org/10.1093/ndt/gfae088

DOI

10.1093/ndt/gfae088

PMID

Journal

Nephrology Dialysis Transplantation

Publisher

ae974a485f413a2113503eed53cd6c53

10.1093/ndt/gfae088

Scopus Count

Collections

Renal Transplant

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