Blockchain technology and federated machine learning for collaborative initiatives in orthodontics and craniofacial health

【Author】 Allareddy, Veerasathpurush; Rampa, Sankeerth; Venugopalan, Shankar Rengasamy; Elnagar, Mohammed H.; Lee, Min Kyeong; Oubaidin, Maysaa; Yadav, Sumit

【Source】ORTHODONTICS & CRANIOFACIAL RESEARCH

【影响因子】2.563

【Abstract】There is a paucity of largescale collaborative initiatives in orthodontics and craniofacial health. Such nationally representative projects would yield findings that are generalizable. The lack of large-scale collaborative initiatives in the field of orthodontics creates a deficiency in study outcomes that can be applied to the population at large. The objective of this study is to provide a narrative review of potential applications of blockchain technology and federated machine learning to improve collaborative care. We conducted a narrative review of articles published from 2018 to 2023 to provide a high level overview of blockchain technology, federated machine learning, remote monitoring, and genomics and how they can be leveraged together to establish a patient centered model of care. To strengthen the empirical framework for clinical decision making in healthcare, we suggest use of blockchain technology and integrating it with federated machine learning. There are several challenges to adoption of these technologies in the current healthcare ecosystem. Nevertheless, this may be an ideal time to explore how best we can integrate these technologies to deliver high quality personalized care. This article provides an overview of blockchain technology and federated machine learning and how they can be leveraged to initiate collaborative projects that will have the patient at the center of care.

【Keywords】artificial intelligence; blockchain technology; collaborative care; federated machine learning; Team sciences

【发表时间】

【收录时间】2023-05-03

【文献类型】观点阐述

【主题类别】

区块链应用-实体经济-医疗领域