Artificial Intelligence (AI) in pediatric endocrinology
- PMID: 37589444
- DOI: 10.1515/jpem-2023-0287
Artificial Intelligence (AI) in pediatric endocrinology
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.
Keywords: Artificial Intelligence (AI); pediatric endocrinology; review.
© 2023 the author(s), published by De Gruyter, Berlin/Boston.
References
-
- Ngo, B, Nguyen, DN, vanSonnenberg, E. Artificial Intelligence: has its time come for inclusion in medical school education? Maybe… Maybe not [Version 2]. MedEdPublish 2021;10:131. https://doi.org/10.15694/mep.2021.000131.2 . - DOI
-
- Densen, P. Challenges and opportunities facing medical education. Trans Am Clin Climatol Assoc 2011;122:48–58.
-
- Masters, K. For what purpose and reasons do doctors use the internet: a systematic review. Int J Med Inf 2008;77:4–16. https://doi.org/10.1016/j.ijmedinf.2006.10.002 . - DOI
-
- Bouaziz, J, Mashiach, R, Cohen, S, Kedem, A, Baron, A, Zajicek, M, et al.. How artificial intelligence can improve our understanding of the genes associated with endometriosis: natural language processing of the PubMed database. BioMed Res Int 2018;2018:6217812. https://doi.org/10.1155/2018/6217812 . - DOI
-
- Boon, IS, Au Yong, TPT, Boon, CS. Assessing the role of Artificial Intelligence (AI) in clinical oncology: utility of machine learning in radiotherapy target volume delineation. Med (Basel) 2018;5:131. https://doi.org/10.3390/medicines5040131 . - DOI
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources