Department of Diagnostic Imaging, the Hospital for Sick Children, Toronto, ON, Canada.
Research Institute, the Hospital for Sick Children, Toronto, ON, Canada.
Expert Rev Hematol. 2023 Jun;16(6):391-405. doi: 10.1080/17474086.2023.2192474. Epub 2023 Apr 11.
Joints of persons with hemophilia are frequently affected by repetitive hemarthrosis. In this paper, concepts, perks, and quirks of the use of artificial intelligence (AI), machine learning (ML), and deep learning are reviewed within clinical and research contexts of hemophilia and other blood-induced disorders' patient care, targeted to the imaging diagnosis of hemophilic joints, under the perspective of different stakeholders (radiologists, hematologists, nurses, physiotherapists, technologists, researchers, managers, and patients/caregivers).
Rubrics that determine the suitability of the utilization of AI in blood-induced disorders' patient care, including diagnosis and follow-up of patients are discussed, focusing on features in which AI can replace or augment the role of radiology in the clinical management and in research of patients. Insights on features in the design and conduct of AI projects in which the human intervention remains critical are provided.
The author discusses research concepts in radiogenomics, and challenges for the utilization of AI in different healthcare fields such as patient safety, data sharing and privacy regulations, workforce education and future jobs' shortage. Finally, the author proposes alternatives and potential solutions to mitigate challenges in successfully deploying ML algorithms into clinical practice.
患有血友病的人的关节经常受到反复关节积血的影响。本文回顾了在血友病和其他血液相关疾病患者护理的临床和研究背景下，人工智能（AI）、机器学习（ML）和深度学习的概念、优点和应用特点，重点关注不同利益相关者（放射科医生、血液科医生、护士、物理治疗师、技师、研究人员、管理人员以及患者/照顾者）视角下的血友病关节成像诊断。
讨论了确定 AI 在血液相关疾病患者护理中使用的适用性的标准，包括患者的诊断和随访，重点介绍了 AI 可以替代或增强放射科在患者临床管理和研究中的作用的特征。提供了关于 AI 项目设计和实施中人类干预仍然至关重要的特征的见解。
作者讨论了放射组学中的研究概念，以及 AI 在患者安全、数据共享和隐私法规、劳动力教育和未来工作短缺等不同医疗保健领域的应用挑战。最后，作者提出了替代方案和潜在解决方案，以减轻将 ML 算法成功部署到临床实践中的挑战。
