Artificial Intelligence Applications in Decision-Making for Disease Management: A scoping review.

Q3 Medicine
Mohammadhiwa Abdekhoda, Fatemeh R Madiseh
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引用次数: 0

Abstract

Artificial intelligence (AI) has several potential applications in medicine, creating opportunities for reliable and evidence-based decision-making in disease management. To explore the practical aspects of AI in decision-making, this scoping review was conducted to identify AI applications in disease management using the PRISMA-ScR checklist. Data collection involved searching relevant keywords in Web of Science and Scopus databases in May 2023. Eligibility criteria for study inclusion and exclusion were established, and the review process adhered to the PRISMA-ScR checklist. A total of 80 extracted sub-themes were identified and categorised into 6 main themes: data processing and management, characterisation and analysis, prediction and risk stratification, screening, prognosis and diagnosis. The application of AI can enhance the reliability and confidence in medical decision-making, thereby improving the accuracy and effectiveness of medical interventions.

人工智能在疾病管理决策中的应用综述
人工智能(AI)在医学上有几个潜在的应用,为疾病管理中的可靠和循证决策创造了机会。为了探索人工智能在决策中的实际应用,本综述使用PRISMA-ScR检查表进行了范围审查,以确定人工智能在疾病管理中的应用。数据收集是在2023年5月在Web of Science和Scopus数据库中搜索相关关键词。建立纳入和排除研究的资格标准,并按照PRISMA-ScR检查表进行审查。共确定了80个提取的子主题,并将其分为6个主题:数据处理和管理、特征和分析、预测和风险分层、筛查、预后和诊断。人工智能的应用可以增强医疗决策的可靠性和信心,从而提高医疗干预的准确性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.00
自引率
0.00%
发文量
86
审稿时长
7 weeks
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