Navigating ChatGPT's alignment with expert consensus on pediatric OSA management.

Journal: International journal of pediatric otorhinolaryngology

PMID: 39423592

Abstract

OBJECTIVE: This study aimed to evaluate the potential integration of artificial intelligence (AI), specifically ChatGPT, into healthcare decision-making, focusing on its alignment with expert consensus statements regarding the management of persistent pediatric obstructive sleep apnea.

Authors

Eileen C Howard

Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.
Jonathan M Carnino

Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA. jcarnino@bu.edu.
Nicholas Y K Chong

Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.
Jessica R Levi

Boston University School of Medicine, Boston, Massachusetts, United States.

Keywords

Adenoidectomy Artificial Intelligence Child Clinical Decision-Making Consensus Female Humans Male Reproducibility of Results Sleep Apnea, Obstructive Tonsillectomy

External Resources

View on PubMed Access via DOI PubMed (39423592)

Navigating ChatGPT's alignment with expert consensus on pediatric OSA management.

Abstract

Authors

Keywords

External Resources

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