Ethical and Practical Considerations of Artificial Intelligence in Pediatric Medicine: A Systematic Review

Cureus, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 14, 2025

Artificial intelligence (AI) is rapidly transforming various industries, including pediatric medicine, raising both ethical and practical considerations in its implementation. AI also being utilized more care across a number of subspecialties. However, major challenges still stand the way implementation AI. The purpose this systematic review was to evaluate consideration field medicine. We searched five different databases (Scopus, Web Science, PubMed/MEDLINE, EMBASE, IEEE Xplore) for relevant studies include review. On these databases, we found 524 studies, which were retrieved EndNote X6.0.1 software, where 207 removed as duplicates, rest assessed eligibility with exclusion inclusion criteria. Twenty eligible included study. In artificial causing disruption now linked opportunities, problems, demand explainability. shouldn't be seen replacement human judgment experience but rather tool improve support healthcare decision-making. Therefore, order guarantee that research findings are generalizable, future should concentrate on gathering complete data.

Language: Английский

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The Role of Artificial Intelligence in Pediatric Intensive Care: A Systematic Review

Cureus, Journal Year: 2025, Volume and Issue: unknown

Published: March 6, 2025

Pediatric intensive care units (PICUs) could transform due to artificial intelligence (AI), which improve patient outcomes, increase diagnostic accuracy, and streamline repetitive procedures. The goal of this systematic review was outline how AI can be used enhance any health outcomes in pediatric care. We searched four databases (PubMed, Scopus, Web Science, IEEE Xplore) for relevant studies using a predefined search. found 267 these databases. were first screened remove the duplicates then by titles irrelevant studies. further based on inclusion exclusion criteria, 32 suitable study. assessed risk bias Prediction Model Risk Of Bias Assessment Tool (PROBAST) tool. After implemented, almost 22% (n = 7) showed an immediate effect enhanced outcomes. A small number involved implementation actual PICUs, while majority focused experimental testing. models outperformed conventional clinical modalities among remaining 78% 25) might have indirectly impacted Significant variation metrics standardization when quantitatively statistical measures, including specificity (38%; n 12) area under receiver operating characteristic curve (AUROC) (56%; 18). There are not sufficient showing that has significantly critical patients' To evaluate AI's impact, more prospective, research is required, utilizing verified outcome defined metrics, established application frameworks.

Language: Английский

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Artificial Intelligence in Pediatrics: An opportunity to Lead, not to Follow

The Journal of Pediatrics, Journal Year: 2025, Volume and Issue: unknown, P. 114641 - 114641

Published: May 1, 2025

Language: Английский

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Navigating Resistance and Adaptation in Healthcare: How Pediatricians Can Balance Transformation and Children's Needs

The Journal of Pediatrics, Journal Year: 2024, Volume and Issue: unknown, P. 114446 - 114446

Published: Dec. 1, 2024

Language: Английский

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