Work

Use of Predictive Models to Determine Transplant Eligibility

Year: 2024

Type: article

Source: Current Transplantation Reports

DOI: 10.1007/s40472-024-00454-4

Authors: Samuel I. Berchuck, Nrupen Bhavsar, Tyler Schappe, Hamed Zaribafzadeh, Roland Matsouaka, Lisa M. McElroy

Institutions: Duke University, Duke Medical Center

Language: English

Topic: Transplantation: Methods and Outcomes

Subfield: Surgery

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Institutes of Health, National Eye Institute, National Institute on Minority Health and Health Disparities

Awards: Increasing Access to Transplant through Improved Clinical Decision Making, Development of a program to assess and treat distress in glaucoma patients using an automated EHR-derived AI algorithm

OpenAlex ID: W4403229224

FWCI: 0.419

Cites: 11

Cited by: 1

Related to: 10