Evaluating Quality and Readability of AI-generated Information on Living Kidney Donation
Current LLM provides fairly accurate responses to common prospective living kidney donor questions; however, the generated information is complex and requires an advanced level of education. As LLMs become more relevant in the field of medical information, transplant providers should familiarize themselves with the shortcomings of these technologies.
Authors
- Vincenzo Villani (ORCID: https://orcid.org/0000-0002-6078-9766)
- Kumaran Shanmugarajah (ORCID: https://orcid.org/0009-0005-3056-352X)
- Hang Thuy Nguyen (ORCID: https://orcid.org/0000-0001-9833-257X)
Institutions
- Cleveland Clinic (US)
- Dermatology Specialists (US)
- The University of Texas Health Science Center (US)
Publication Details
- Journal
- Transplantation Direct
- Published
- 2024-12-10
- DOI
- https://doi.org/10.1097/txd.0000000000001740
- Citations
- 6
- Primary Topic
- Organ Donation and Transplantation
- Type
- article
- Field-Weighted Citation Impact
- 3.26