Work

Large Language Model Responses to Adolescent Patient and Proxy Messages

Year: 2024

Type: article

Abstract: This cross-sectional study assesses a language model’s ability to discern between messages from adolescent patients and those from their parents/guardians and subsequently generate appropriate responses.

Source: Archives of Pediatrics and Adolescent Medicine

DOI: 10.1001/jamapediatrics.2024.4438

Authors: Gabriel Tse, Aydin Zahedivash, Arash Anoshiravani, Jennifer Carlson, William Haberkorn, Keith E. Morse

Institutions: Stanford Medicine, Stanford University, Lucile Packard Children's Hospital

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W4404024235

FWCI: 0.718

Cites: 4

Cited by: 9

Related to: 10