Jamil Abusamra Hisham Naeem, Ali Salma Hassan M, Khidir Elhussien Wala Ahmed, Ahmed Mirghani Alia Mirghani, Alameen Ahmed Asma Abualgasim, Abdelrahman Ibrahim Mohamed Elsayed
Neonatal Intensive Care, Maternity and Children Hospital, Arar, SAU.
Obstetrics and Gynecology, Najran Armed Forces Hospital, Najran, SAU.
Cureus. 2025 Feb 14;17(2):e79024. doi: 10.7759/cureus.79024. eCollection 2025 Feb.
Artificial intelligence (AI) is rapidly transforming various industries, including pediatric medicine, raising both ethical and practical considerations in its implementation. AI is also being utilized more and more in pediatric care across a number of subspecialties. However, a number of major challenges still stand in the way of the practical implementation of AI. The purpose of this systematic review was to evaluate the ethical and practical consideration of AI in the field of pediatric medicine. We searched five different databases (Scopus, Web of Science, PubMed/MEDLINE, EMBASE, and IEEE Xplore) for relevant studies to include in this review. On these databases, we found 524 studies, which were retrieved to EndNote X6.0.1 software, where 207 were removed as duplicates, and the rest were assessed for eligibility with exclusion and inclusion criteria. Twenty studies were found eligible and were included in the study. In pediatric medicine, artificial intelligence (AI) is causing disruption and is now linked to opportunities, problems, and a demand for explainability. AI shouldn't be seen as a replacement for human judgment and experience but rather as a tool to improve and support healthcare decision-making. Therefore, in order to guarantee that research findings are generalizable, future studies should concentrate on gathering complete data.
人工智能(AI)正在迅速改变包括儿科学在内的各个行业,在其应用过程中引发了伦理和实际方面的考量。在儿科学的多个亚专业领域,AI的应用也越来越广泛。然而,一些重大挑战仍然阻碍着AI的实际应用。本系统评价的目的是评估AI在儿科学领域的伦理和实际考量。我们在五个不同的数据库(Scopus、科学网、PubMed/医学期刊数据库、EMBASE和IEEE Xplore)中搜索相关研究以纳入本评价。在这些数据库中,我们找到了524项研究,并将其检索到EndNote X6.0.1软件中,其中207项因重复而被剔除,其余研究根据纳入和排除标准进行资格评估。发现有20项研究符合要求并被纳入本研究。在儿科学中,人工智能正在引发变革,目前与机遇、问题以及对可解释性的需求相关联。AI不应被视为取代人类判断和经验的事物,而应被视为改善和支持医疗决策的工具。因此,为了确保研究结果具有可推广性,未来的研究应专注于收集完整的数据。