Artificial Intelligence in Continuous Kidney Replacement Therapy

Liu, Lucas J.; Takeuchi, Tomonori; Chen, Jin; Neyra, Javier A.

doi:10.2215/cjn.0000000000000099

Cited by 5 publications

(4 citation statements)

References 10 publications

(13 reference statements)

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“…The transformative potential of AI in revolutionizing CRRT is vast, offering advancements in quality assurance, risk prediction, and bedside decision-making [ 24 , 32 ]. However, the integration of AI into CRRT practices is still in its nascent stages.…”

Section: Discussionmentioning

confidence: 99%

Personalized Medicine Transformed: ChatGPT’s Contribution to Continuous Renal Replacement Therapy Alarm Management in Intensive Care Units

Sheikh,

Thongprayoon,

Qureshi

et al. 2024

JPM

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The accurate interpretation of CRRT machine alarms is crucial in the intensive care setting. ChatGPT, with its advanced natural language processing capabilities, has emerged as a tool that is evolving and advancing in its ability to assist with healthcare information. This study is designed to evaluate the accuracy of the ChatGPT-3.5 and ChatGPT-4 models in addressing queries related to CRRT alarm troubleshooting. This study consisted of two rounds of ChatGPT-3.5 and ChatGPT-4 responses to address 50 CRRT machine alarm questions that were carefully selected by two nephrologists in intensive care. Accuracy was determined by comparing the model responses to predetermined answer keys provided by critical care nephrologists, and consistency was determined by comparing outcomes across the two rounds. The accuracy rate of ChatGPT-3.5 was 86% and 84%, while the accuracy rate of ChatGPT-4 was 90% and 94% in the first and second rounds, respectively. The agreement between the first and second rounds of ChatGPT-3.5 was 84% with a Kappa statistic of 0.78, while the agreement of ChatGPT-4 was 92% with a Kappa statistic of 0.88. Although ChatGPT-4 tended to provide more accurate and consistent responses than ChatGPT-3.5, there was no statistically significant difference between the accuracy and agreement rate between ChatGPT-3.5 and -4. ChatGPT-4 had higher accuracy and consistency but did not achieve statistical significance. While these findings are encouraging, there is still potential for further development to achieve even greater reliability. This advancement is essential for ensuring the highest-quality patient care and safety standards in managing CRRT machine-related issues.

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Section: Discussionmentioning

confidence: 99%

Personalized Medicine Transformed: ChatGPT’s Contribution to Continuous Renal Replacement Therapy Alarm Management in Intensive Care Units

Sheikh,

Thongprayoon,

Qureshi

et al. 2024

JPM

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“…CRRT is a widely utilized method for kidney replacement therapy in the management of AKI and other kidney-related conditions [119,120]. The inclusion of chatbots in the orchestration of CRRT management holds promise in amplifying patient outcomes, providing support throughout diverse care dimensions [54,119,120]. This section examines potential the specific development applications of chatbots within the context of CRRT management.…”

Section: Support For Crrtmentioning

confidence: 99%

“…Chatbots might emerge as instrumental assets in aiding healthcare providers with orchestrating prescription and anticoagulation management for CRRT. By accessing patientcentric data, which includes weight, clinical status, and laboratory findings, chatbots hold the potential to suggest prescription configurations, such as suitable dosages and therapeutic durations [44,120].…”

Section: Guiding Prescription and Anticoagulation Managementmentioning

confidence: 99%

Exploring the Potential of Chatbots in Critical Care Nephrology

Suppadungsuk,

Thongprayoon,

Miao

et al. 2023

Medicines

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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.

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“…The use of artificial intelligence (AI) may further advance CRRT delivery. Proposed clinical applications for AI in CRRT are: Risk-classification to accurately predict mortality and kidney recovery and improve bedside decisions, personalized patient selection and initiation of CRRT, precision in dose delivery, anticoagulation management, prolongation of circuit patency, and clinical subphenotyping that could promote precision CRRT 52 . Research efforts in this aspect will evolve in the coming years.…”

Section: Artificial Intelligencementioning

confidence: 99%

Continuous renal replacement therapy: what have we learned and what are key milestones for the years to come?

Galindo,

Neyra

2023

RIC

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Continuous renal replacement therapy (CRRT) is the main extracorporeal kidney support therapy used in critical ill patients in the intensive care unit (ICU). Since its conceptualization ~50 years ago, there have been major improvements in its technology and utilization. The last decade, and particularly since the COVID-19 pandemic, has been marked by a growing interest and demand of CRRT in worldwide ICUs. This has underpinned the need for improvements in nomenclature and process standardization, optimization of CRRT deliverables, and the development and validation of key performance indicators. Further, how to leverage digital health technologies to build clinical decision support for CRRT and improve personalized bedside decisions is a subject of intense investigation. Herein, we summarize notable advancements in the provision of CRRT and propose areas in need of further development.

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Artificial Intelligence in Continuous Kidney Replacement Therapy

Cited by 5 publications

References 10 publications

Personalized Medicine Transformed: ChatGPT’s Contribution to Continuous Renal Replacement Therapy Alarm Management in Intensive Care Units

Personalized Medicine Transformed: ChatGPT’s Contribution to Continuous Renal Replacement Therapy Alarm Management in Intensive Care Units

Exploring the Potential of Chatbots in Critical Care Nephrology

Continuous renal replacement therapy: what have we learned and what are key milestones for the years to come?

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