Artificial intelligence assessment for early detection and prediction of renal impairment using electrocardiography
Sign Up to like & getrecommendations! Published in 2022 at "International Urology and Nephrology"
DOI: 10.1007/s11255-022-03165-w
Abstract: Although renal failure is a major healthcare burden globally and the cornerstone for preventing its irreversible progression is an early diagnosis, an adequate and noninvasive tool to screen renal impairment (RI) reliably and economically does… read more here.
Keywords: dlm; renal impairment; detection prediction; using electrocardiography ... See more keywords
Artificial intelligence for detecting electrolyte imbalance using electrocardiography
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DOI: 10.1111/anec.12839
Abstract: The detection and monitoring of electrolyte imbalance is essential for appropriate management of many metabolic diseases; however, there is no tool that detects such imbalances reliably and noninvasively. In this study, we developed a deep… read more here.
Keywords: imbalance; using electrocardiography; detecting electrolyte; electrolyte imbalance ... See more keywords
Deep-learning model for screening sepsis using electrocardiography
Sign Up to like & getrecommendations! Published in 2021 at "Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine"
DOI: 10.1186/s13049-021-00953-8
Abstract: Background Sepsis is a life-threatening organ dysfunction and a major healthcare burden worldwide. Although sepsis is a medical emergency that requires immediate management, screening for the occurrence of sepsis is difficult. Herein, we propose a… read more here.
Keywords: screening sepsis; sepsis; sepsis using; using electrocardiography ... See more keywords