2021
DOI: 10.1016/j.semnephrol.2021.05.009
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A Call for an Ethics and Governance Action Plan to Harness the Power of Artificial Intelligence and Digitalization in Nephrology

Abstract: Digitalization in nephrology has progressed in a manner that is disparate and siloed, even though learning (under a broader Learning Health System initiative) has been manifested in all the main areas of clinical application. Most applications based on artificial intelligence/machine learning (AI/ML) are still in the initial developmental stages and are yet to be adequately validated and shown to contribute to positive patient outcomes. There is also no consistent or comprehensive digitalization plan, and insu… Show more

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Cited by 13 publications
(2 citation statements)
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References 67 publications
(70 reference statements)
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“…Moreover, the author highlights that AI can enhance the patient-doctor relationship—a perspective that has not been analyzed in detail in our work. Finally, the work of Ho et al [ 25 ] arrives at a similar conclusion to ours, that the inclusion of multiple stakeholders is necessary to develop AI technology in healthcare.…”
Section: Related Worksupporting
confidence: 77%
“…Moreover, the author highlights that AI can enhance the patient-doctor relationship—a perspective that has not been analyzed in detail in our work. Finally, the work of Ho et al [ 25 ] arrives at a similar conclusion to ours, that the inclusion of multiple stakeholders is necessary to develop AI technology in healthcare.…”
Section: Related Worksupporting
confidence: 77%
“…At the same time, the technological capability of obtaining health-related data that is not only more granular (e.g., through whole genome sequencing) but also more varied (e.g., through sensors linked up through the Internet-of-Things), and the ability to process it rapidly and efficiently (e.g., through cloud and edge platforms), will also grow. These unprecedented developments are important in transforming healthcare to become more precise and personalized, and in bringing clinical care closer to public health in the application of predictive modeling and shared emphasis of disease prevention ( 73 ). However, these developments also weaken the control that individuals (and countries) have over their health data, which could have in turn contributed to data protection laws being introduced in over 100 countries ( 74 ).…”
Section: Human and Population Healthmentioning
confidence: 99%