Generative AI in Pediatric Gastroenterology.

Autor: Rosen JM; University of Arkansas for Medical Sciences, Little Rock, AR, USA. jrosen@uams.edu.; Arkansas Children's, Little Rock, AR, USA. jrosen@uams.edu.
Jazyk: angličtina
Zdroj: Current gastroenterology reports [Curr Gastroenterol Rep] 2024 Dec; Vol. 26 (12), pp. 342-348. Date of Electronic Publication: 2024 Sep 07.
DOI: 10.1007/s11894-024-00946-4
Abstrakt: Purpose of Review: The integration of digital technology into medical practice is often thrust upon clinicians, with standards and routines developed long after initiation. Clinicians should endeavor towards a basic understanding even of emerging technologies so that they can direct its use. The intent of this review is to describe the current state of rapidly evolving generative artificial intelligence (GAI), and to explore both how pediatric gastroenterology practice may benefit as well as challenges that will be faced.
Recent Findings: Although little research demonstrating the acceptance, practice, and outcomes associated with GAI in pediatric gastroenterology is published, there are relevant data adjacent to the specialty and overwhelming potential as professed in the media. Best practice guidelines are widely developed in academic publishing and resources to initiate and improve practical user skills are prevalent. Initial published evidence supports broad acceptance of the technology as part of medical practice by clinicians and patients, describes methods with which higher quality GAI can be developed, and identifies the potential for bias and disparities resulting from its use. GAI is broadly available as a digital tool for incorporation into medical practice and holds promise for improved quality and efficiency of care, but investigation into how GAI can best be used remains at an early stage despite rapid evolution of the technology.
(© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)
Databáze: MEDLINE
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