Not All Sepsis-Associated Acute Kidney Injury Is the Same

Gunning, Samantha; Koyner, Jay L.

doi:10.2215/cjn.14860920

Cited by 1 publication

(1 citation statement)

References 10 publications

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“…The clinical manifestations and prognosis of sepsis-associated acute kidney injury (AKI) are not all the same. AI can be used to divide them into various sub-phenotypes according to the degree of risk, thereby helping to improve the management of related patients ( 29 ). A study used deep learning to determine the subphenotype of sepsis-related AKI and predict the 28-day mortality and dialysis needs of sepsis-related AKI ( 30 ).…”

Section: Application Of Ai In the Prognosis And Risk Assessment Of Sepsismentioning

confidence: 99%

Artificial Intelligence for Clinical Decision Support in Sepsis

et al. 2021

Front. Med.

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Sepsis is one of the main causes of death in critically ill patients. Despite the continuous development of medical technology in recent years, its morbidity and mortality are still high. This is mainly related to the delay in starting treatment and non-adherence of clinical guidelines. Artificial intelligence (AI) is an evolving field in medicine, which has been used to develop a variety of innovative Clinical Decision Support Systems. It has shown great potential in predicting the clinical condition of patients and assisting in clinical decision-making. AI-derived algorithms can be applied to multiple stages of sepsis, such as early prediction, prognosis assessment, mortality prediction, and optimal management. This review describes the latest literature on AI for clinical decision support in sepsis, and outlines the application of AI in the prediction, diagnosis, subphenotyping, prognosis assessment, and clinical management of sepsis. In addition, we discussed the challenges of implementing and accepting this non-traditional methodology for clinical purposes.

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Section: Application Of Ai In the Prognosis And Risk Assessment Of Sepsismentioning

confidence: 99%

Artificial Intelligence for Clinical Decision Support in Sepsis

et al. 2021

Front. Med.

View full text Add to dashboard Cite

show abstract

Not All Sepsis-Associated Acute Kidney Injury Is the Same

Cited by 1 publication

References 10 publications

Artificial Intelligence for Clinical Decision Support in Sepsis

Artificial Intelligence for Clinical Decision Support in Sepsis

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