Abdekhoda Mohammadhiwa, Madiseh Fatemeh R
Philosophy and History Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
School of Health Management and Medical Informatics, Tabriz University of Medical Sciences, Tabriz, Iran.
Sultan Qaboos Univ Med J. 2025 May 2;25(1):441-449. doi: 10.18295/2075-0528.2855.
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（AI）在医学领域有若干潜在应用，为疾病管理中的可靠且基于证据的决策创造了机会。为探索人工智能在决策中的实际应用，本范围综述使用PRISMA-ScR清单来确定疾病管理中的人工智能应用。数据收集包括在2023年5月在科学网和Scopus数据库中搜索相关关键词。制定了纳入和排除研究的资格标准，且综述过程遵循PRISMA-ScR清单。总共确定了80个提取的子主题，并将其分为6个主要主题：数据处理与管理、特征描述与分析、预测与风险分层、筛查、预后与诊断。人工智能的应用可以提高医学决策的可靠性和可信度，从而提高医疗干预的准确性和有效性。
