{"title":"Artificial intelligence: Revolutionizing pediatric emergency care - A narrative review.","authors":"Ayonna Saha, Anushruti Shukla, Vikram Bhaskar","doi":"10.4103/ijciis.ijciis_24_25","DOIUrl":null,"url":null,"abstract":"<p><p>Artificial intelligence (AI) refers to machines capable of imitating human cognition, with abilities to learn, apply logic and reasoning, and adapt to new information. The scope of AI in medicine ranges from prehospital triage to assisting in diagnosis and prognosticating patients. AI has shown incredible potential in pediatric emergency department by focusing on the development of clinical prediction models, triage systems, and diagnostic aids, contributing to higher accuracy and efficiency in patient management, along with hospital management, medical education, and training. Our review article discusses the current applications of AI in pediatric emergency and explores the barriers to AI in health care and ways to circumnavigate them moving forward. We aim to offer an insight into this less-explored world where technology meets the unpredictable and fast-paced environment of pediatric emergency medicine, building a future with a promise of innovation and redefining standards of care.</p>","PeriodicalId":13938,"journal":{"name":"International Journal of Critical Illness and Injury Science","volume":"15 3","pages":"123-131"},"PeriodicalIF":0.0000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12443456/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Critical Illness and Injury Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4103/ijciis.ijciis_24_25","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/9/11 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
Artificial intelligence (AI) refers to machines capable of imitating human cognition, with abilities to learn, apply logic and reasoning, and adapt to new information. The scope of AI in medicine ranges from prehospital triage to assisting in diagnosis and prognosticating patients. AI has shown incredible potential in pediatric emergency department by focusing on the development of clinical prediction models, triage systems, and diagnostic aids, contributing to higher accuracy and efficiency in patient management, along with hospital management, medical education, and training. Our review article discusses the current applications of AI in pediatric emergency and explores the barriers to AI in health care and ways to circumnavigate them moving forward. We aim to offer an insight into this less-explored world where technology meets the unpredictable and fast-paced environment of pediatric emergency medicine, building a future with a promise of innovation and redefining standards of care.
期刊介绍:
IJCIIS encourages research, education and dissemination of knowledge in the field of Critical Illness and Injury Science across the world thus promoting translational research by striking a synergy between basic science, clinical medicine and public health. The Journal intends to bring together scientists and academicians in the emergency intensive care and promote translational synergy between Laboratory Science, Clinical Medicine and Public Health. The Journal invites Original Articles, Clinical Investigations, Epidemiological Analysis, Data Protocols, Case Reports, Clinical Photographs, review articles and special commentaries. Students, Residents, Academicians, Public Health experts and scientists are all encouraged to be a part of this initiative by contributing, reviewing and promoting scientific works and science.