2024
DOI: 10.1111/aogs.14989
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Large language models to facilitate pregnancy prediction after in vitro fertilization

Ping Cao,
Ganesh Acharya,
Andres Salumets
et al.

Abstract: We evaluated the efficacy of large language models (LLMs), specifically, generative pre‐trained transformer‐4 (GPT‐4), in predicting pregnancy following in vitro fertilization (IVF) treatment and compared its accuracy with results from an original published study. Our findings revealed that GPT‐4 can autonomously develop and refine advanced machine learning models for pregnancy prediction with minimal human intervention. The prediction accuracy was 0.79, and the area under the receiver operating characteristic… Show more

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