Mohsin Syed Naveed, Gapizov Abubakar, Ekhator Chukwuyem, Ain Noor U, Ahmad Saeed, Khan Mavra, Barker Chad, Hussain Muqaddas, Malineni Jahnavi, Ramadhan Afif, Halappa Nagaraj Raghu
General Surgery, Cavan General Hospital, Cavan, IRL.
General Surgery, American University of Antigua, Brooklyn, USA.
Cureus. 2023 Aug 30;15(8):e44374. doi: 10.7759/cureus.44374. eCollection 2023 Aug.
This narrative review delves into the potential of artificial intelligence (AI) in predicting, stratifying risk, and personalizing treatment planning for congenital heart disease (CHD). CHD is a complex condition that affects individuals across various age groups. The review highlights the challenges in predicting risks, planning treatments, and prognosticating long-term outcomes due to CHD's multifaceted nature, limited data, ethical concerns, and individual variabilities. AI, with its ability to analyze extensive data sets, presents a promising solution. The review emphasizes the need for larger, diverse datasets, the integration of various data sources, and the analysis of longitudinal data. Prospective validation in real-world clinical settings, interpretability, and the importance of human clinical expertise are also underscored. The ethical considerations surrounding privacy, consent, bias, monitoring, and human oversight are examined. AI's implications include improved patient outcomes, cost-effectiveness, and real-time decision support. The review aims to provide a comprehensive understanding of AI's potential for revolutionizing CHD management and highlights the significance of collaboration and transparency to address challenges and limitations.
这篇叙述性综述深入探讨了人工智能（AI）在预测先天性心脏病（CHD）、分层风险以及个性化治疗规划方面的潜力。CHD是一种复杂的病症，影响着各个年龄段的人群。该综述强调了由于CHD的多面性、数据有限、伦理问题以及个体差异，在预测风险、规划治疗和预测长期结果方面所面临的挑战。人工智能凭借其分析大量数据集的能力，提供了一个有前景的解决方案。该综述强调需要更大、更多样化的数据集，整合各种数据源以及分析纵向数据。在现实世界临床环境中的前瞻性验证、可解释性以及人类临床专业知识的重要性也得到了强调。围绕隐私、同意、偏差、监测和人工监督的伦理考量也进行了审视。人工智能的影响包括改善患者预后、成本效益以及实时决策支持。该综述旨在全面理解人工智能在革新CHD管理方面的潜力，并强调合作与透明度对于应对挑战和局限性的重要性。
