Comparative Evaluation of Artificial Intelligence Models for Contraceptive Counseling

Comparative Evaluation of Artificial Intelligence Models for Contraceptive Counseling

Background: As digital health resources become increasingly prevalent, assessing the quality of information provided by publicly available AI tools is vital for evidence-based patient education. Objective: This study evaluates the accuracy and readability of responses from four large language models...

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Bibliographic Details
Main Authors: Anisha V. Patel, Sona Jasani, Abdelrahman AlAshqar, Rushabh H. Doshi, Kanhai Amin, Aisvarya Panakam, Ankita Patil, Sangini S. Sheth
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Digital
Subjects:
contraception
contraceptive counseling
reproductive health
artificial intelligence
large language models
digital health
Online Access:https://www.mdpi.com/2673-6470/5/2/10
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https://www.mdpi.com/2673-6470/5/2/10

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