Artificial Intelligence (AI) in pediatric endocrinology-Reference-Cited by-同舟云学术

Artificial Intelligence (AI) in pediatric endocrinology

Published:2023-08-18 Issue:10 Volume:36 Page:903-908
ISSN:0334-018X
Container-title:Journal of Pediatric Endocrinology and Metabolism
language:en
Short-container-title:

Author:

Winkelman Jeremy¹,Nguyen Diep¹,vanSonnenberg Eric¹²³,Kirk Alison¹³⁴,Lieberman Steven¹⁵

Affiliation:

1. University of Arizona College of Medicine Phoenix , Phoenix , USA

2. From the Departments of Radiology , University of Arizona College of Medicine Phoenix , Phoenix , USA

3. Student Affairs , University of Arizona College of Medicine Phoenix , Phoenix , USA

4. Pediatrics , University of Arizona College of Medicine Phoenix , Phoenix , USA

5. Internal Medicine (Division of Endocrinology) , University of Arizona College of Medicine Phoenix , Phoenix , USA

Abstract

Abstract Artificial Intelligence (AI) is integrating itself throughout the medical community. AI’s ability to analyze complex patterns and interpret large amounts of data will have considerable impact on all areas of medicine, including pediatric endocrinology. In this paper, we review and update the current studies of AI in pediatric endocrinology. Specific topics that are addressed include: diabetes management, bone growth, metabolism, obesity, and puberty. Becoming knowledgeable and comfortable with AI will assist pediatric endocrinologists, the goal of the paper.

Publisher

Walter de Gruyter GmbH

Subject

Endocrinology,Endocrinology, Diabetes and Metabolism,Pediatrics, Perinatology and Child Health

Link

https://www.degruyter.com/document/doi/10.1515/jpem-2023-0287/pdf

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