Accurate and interpretable prediction of ICU-acquired AKI

Schwager, Emma; Ghosh, Erina; Eshelman, Larry J.; Pasupathy, Kalyan S.; Barreto, Erin F.; Kashani, Kianoush

doi:10.1016/j.jcrc.2023.154278

Cited by 4 publications

(2 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Critical care nephrology is a specialized discipline involving the management of kidney-related conditions in critically ill patients. The implementation of chatbots in critical care nephrology has demonstrated potential in enhancing patient outcomes by enabling the early detection and diagnosis of AKI [48,72,104]. This section will explore the unique uses of chatbots in critical care nephrology, such as the real-time monitoring of renal function and biomarkers, the identification of AKI risk factors, and the development of a prompt alert system for early AKI diagnosis.…”

Section: Early Detection and Diagnosis Of Akimentioning

confidence: 99%

“…Additionally, these chatbots can potentially serve as valuable tools for healthcare providers, aiding them in making judicious decisions [43][44][45][46][47]. Through the analysis of extensive patient data, including laboratory results, vital signs, and medical histories, chatbots can identify patterns, notify healthcare providers of potential complications, and suggest appropriate interventions [48,49]. This real-time analysis has the potential to save crucial time, particularly in critical situations where prompt decision making is vital [50].…”

Section: Introduction To the Potential Utilization Of Chatbots In Cri...mentioning

confidence: 99%

See 1 more Smart Citation

Exploring the Potential of Chatbots in Critical Care Nephrology

Suppadungsuk,

Thongprayoon,

Miao

et al. 2023

Medicines

Self Cite

View full text Add to dashboard Cite

The exponential growth of artificial intelligence (AI) has allowed for its integration into multiple sectors, including, notably, healthcare. Chatbots have emerged as a pivotal resource for improving patient outcomes and assisting healthcare practitioners through various AI-based technologies. In critical care, kidney-related conditions play a significant role in determining patient outcomes. This article examines the potential for integrating chatbots into the workflows of critical care nephrology to optimize patient care. We detail their specific applications in critical care nephrology, such as managing acute kidney injury, alert systems, and continuous renal replacement therapy (CRRT); facilitating discussions around palliative care; and bolstering collaboration within a multidisciplinary team. Chatbots have the potential to augment real-time data availability, evaluate renal health, identify potential risk factors, build predictive models, and monitor patient progress. Moreover, they provide a platform for enhancing communication and education for both patients and healthcare providers, paving the way for enriched knowledge and honed professional skills. However, it is vital to recognize the inherent challenges and limitations when using chatbots in this domain. Here, we provide an in-depth exploration of the concerns tied to chatbots’ accuracy, dependability, data protection and security, transparency, potential algorithmic biases, and ethical implications in critical care nephrology. While human discernment and intervention are indispensable, especially in complex medical scenarios or intricate situations, the sustained advancements in AI signal that the integration of precision-engineered chatbot algorithms within critical care nephrology has considerable potential to elevate patient care and pivotal outcome metrics in the future.

show abstract

Section: Early Detection and Diagnosis Of Akimentioning

confidence: 99%

Section: Introduction To the Potential Utilization Of Chatbots In Cri...mentioning

confidence: 99%

Exploring the Potential of Chatbots in Critical Care Nephrology

Suppadungsuk,

Thongprayoon,

Miao

et al. 2023

Medicines

Self Cite

View full text Add to dashboard Cite

show abstract

Digital health and acute kidney injury: consensus report of the 27th Acute Disease Quality Initiative workgroup

Kashani,

Awdishu,

Bagshaw

et al. 2023

Nat Rev Nephrol

View full text Add to dashboard Cite

Nephrology rapid response team in the intensive care unit

Gomez-Villarreal,

Borbolla,

Garza-Treviño

et al. 2024

Journal of Translational Critical Care Medicine

View full text Add to dashboard Cite

Acute kidney injury (AKI) is a frequent complication in patients admitted to the intensive care unit (ICU), and it is known as an independent factor for adverse outcomes like increased length of hospital stay, the development of chronic kidney disease (CKD), and increased mortality with the associated high cost to healthcare systems. The use of AKI biomarkers and new tools such as point-of-care ultrasonography (POCUS) to perform a hemodynamic and volume status assessment has made it more feasible to detect or predict kidney damage in a very accurate way, thereby avoiding the progression of AKI. The design and implementation of a nephrology rapid response team (NRRT) should be considered to improve patient outcomes and healthcare costs. In this paper, we provide an overview of the implementation of an NRRT.

show abstract

Accurate and interpretable prediction of ICU-acquired AKI

Cited by 4 publications

References 29 publications

Exploring the Potential of Chatbots in Critical Care Nephrology

Exploring the Potential of Chatbots in Critical Care Nephrology

Digital health and acute kidney injury: consensus report of the 27th Acute Disease Quality Initiative workgroup

Nephrology rapid response team in the intensive care unit

Contact Info

Product

Resources

About