Using ChatGPT for Kidney Transplantation: Perceived Information Quality by Race and Education Levels.

Journal: Clinical transplantation

PMID: 38934705

Abstract

BACKGROUND: Kidney transplantation is a complex process requiring extensive preparation and ongoing monitoring. Artificial intelligence (AI)-powered chatbots hold potential for providing accessible health information, but our understanding of their role in offering health advice for kidney transplantation and how individuals assess such advice remains limited. This study investigates how individuals evaluate ChatGPT's responses to kidney transplantation questions in terms of information quality and empathy, focusing on potential differences across race/ethnicity and educational backgrounds.

Authors

Jihye Lee

Department of Digital Media, Ajou University, 206, World cup-ro, Yeongtong-gu, Suwon-si, Gyeonggi-do, Republic of Korea.
Jeeyun Park

Stan Richards School of Advertising and Public Relations, Moody College of Communication, The University of Texas at Austin, Austin, Texas, USA.
Hwarang Stephen Han

Division of Nephrology, Department of Internal Medicine, Dell Medical School, The University of Texas at Austin, Austin, Texas, USA.

Keywords

Adult Artificial Intelligence Educational Status Ethnicity Female Follow-Up Studies Humans Kidney Transplantation Male Middle Aged Patient Education as Topic Prognosis Racial Groups Social Media Surveys and Questionnaires

External Resources

View on PubMed Access via DOI PubMed (38934705)

Using ChatGPT for Kidney Transplantation: Perceived Information Quality by Race and Education Levels.

Abstract

Authors

Keywords

External Resources

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