Artificial Intelligence and Machine Learning in Dialysis

Kotanko, Peter; Zhang, Hanjie; Wang, Yuedong

doi:10.2215/cjn.0000000000000089

Cited by 8 publications

(1 citation statement)

References 10 publications

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“…Kidney replacement therapy, such as dialysis or CRRT, is crucial in managing AKI. The integration of chatbots in supporting AKI and CRRT management holds promise with regard to amplifying patient outcomes by assisting in various aspects of care [112,113]. This section explores the specific applications of chatbots within the context of AKI and CRRT management.…”

Section: Support For Aki 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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Section: Support For Aki Managementmentioning

confidence: 99%

Exploring the Potential of Chatbots in Critical Care Nephrology

Suppadungsuk,

Thongprayoon,

Miao

et al. 2023

Medicines

View full text Add to dashboard Cite

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Artificial Intelligence in Nephrology: Clinical Applications and Challenges

Singh,

Goyal,

Mallick

et al. 2025

Kidney Medicine

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Artificial intelligence: a new field of knowledge for nephrologists?

Arizon

Viera

Pilco

et al. 2023

Clinical Kidney Journal

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Artificial Intelligence (AI) is a science that involves creating machines that can imitate human intelligence and learn. AI is ubiquitous in our daily lives, from search engines like Google to home assistants like Alexa and, more recently, OpenAI with its chatbot. AI can improve clinical care and research, but its use requires a solid understanding of its fundamentals, the promises and perils of algorithmic fairness, the barriers and solutions to its clinical implementation, and the pathways to developing an AI-competent workforce. The potential of AI in the field of nephrology is vast, particularly in the areas of diagnosis, treatment, and prediction. One of the most significant advantages of AI is the ability to improve diagnostic accuracy. Machine learning algorithms can be trained to recognize patterns in patient data, including lab results, imaging, and medical history, in order to identify early signs of kidney disease and thereby allow timely diagnoses and prompt initiation of treatment plans that can improve outcomes for patients. In short, AI holds the promise of advancing personalized medicine to new levels. While AI has tremendous potential, there are also significant challenges to its implementation, including data access and quality, data privacy and security, bias, trustworthiness, computing power, AI integration, and legal issues. The European Commission's proposed regulatory framework for AI technology will play a significant role in ensuring the safe and ethical implementation of these technologies in the healthcare industry. Training nephrologists in the fundamentals of AI is imperative because traditionally, decision-making pertaining to the diagnosis, prognosis, and treatment of renal patients has relied on ingrained practices, whereas AI serves as a powerful tool for swiftly and confidently synthesizing this information.

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Artificial Intelligence and Machine Learning in Dialysis

Cited by 8 publications

References 10 publications

Exploring the Potential of Chatbots in Critical Care Nephrology

Exploring the Potential of Chatbots in Critical Care Nephrology

Artificial Intelligence in Nephrology: Clinical Applications and Challenges

Artificial intelligence: a new field of knowledge for nephrologists?

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