Work

Predicting Delayed Graft Function Using Multimodal Artificial Intelligence (AI) with Pathomics from Deceased Donor Biopsy and Clinical Data

Year: 2025

Type: article

Study design: Observational Study

Source: Journal of the American Society of Nephrology

DOI: 10.1681/asn.2025aahppxk1

Authors: Jeremy Rubin, Anindya S. Paul, Luis Rodrigues, Haitham M Abdelazim, Akshita Gupta, Samuel Border, Clara Pardinhas, Vitor Manuel Leitão de Sousa, Arnaldo Figueiredo, Jarcy Zee, Pinaki Sarder

Institutions: University of Pennsylvania, University of Florida, University of Coimbra

Language: English

Topic: Renal Transplantation Outcomes and Treatments

Subfield: Transplantation

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4416869478

FWCI:

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