[HTML][HTML] Ethical implications of chatbot utilization in nephrology

OA Garcia Valencia, S Suppadungsuk… - Journal of Personalized …, 2023 - mdpi.com
This comprehensive critical review critically examines the ethical implications associated
with integrating chatbots into nephrology, aiming to identify concerns, propose policies, and …

Exploring the potential of chatbots in critical care nephrology

S Suppadungsuk, C Thongprayoon, J Miao… - Medicines, 2023 - mdpi.com
The exponential growth of artificial intelligence (AI) has allowed for its integration into
multiple sectors, including, notably, healthcare. Chatbots have emerged as a pivotal …

Enhancing the early detection of chronic kidney disease: a robust machine learning model

MS Arif, A Mukheimer, D Asif - Big Data and Cognitive Computing, 2023 - mdpi.com
Clinical decision-making in chronic disorder prognosis is often hampered by high variance,
leading to uncertainty and negative outcomes, especially in cases such as chronic kidney …

Performance of ChatGPT on nephrology test questions

J Miao, C Thongprayoon, OAG Valencia… - Clinical Journal of the …, 2023 - journals.lww.com
Background: ChatGPT is a novel tool that allows people to engage in conversations with an
advanced machine learning model. ChatGPT's performance in the United States Medical …

Innovating personalized nephrology care: exploring the potential utilization of ChatGPT

J Miao, C Thongprayoon, S Suppadungsuk… - Journal of Personalized …, 2023 - mdpi.com
The rapid advancement of artificial intelligence (AI) technologies, particularly machine
learning, has brought substantial progress to the field of nephrology, enabling significant …

Why is chronic kidney disease progressive? Evolutionary adaptations and maladaptations

RL Chevalier - American Journal of Physiology-Renal …, 2023 - journals.physiology.org
Despite significant advances in renal physiology, the global prevalence of chronic kidney
disease (CKD) continues to increase. The emergence of multicellular organisms gave rise to …

Artificial intelligence and machine learning trends in kidney care

YS Ho, T Fülöp, P Krisanapan, KM Soliman… - The American Journal of …, 2024 - Elsevier
Background The integration of artificial intelligence (AI) and machine learning (ML) in kidney
care has seen a significant rise in recent years. This study specifically analyzed AI and ML …

[HTML][HTML] Artificial Intelligence in Heart Failure and Acute Kidney Injury: Emerging Concepts and Controversial Dimensions

W Cheungpasitporn, C Thongprayoon… - Cardiorenal …, 2024 - karger.com
Background: The growing complexity of patient data and the intricate relationship between
heart failure (HF) and acute kidney injury (AKI) underscore the potential benefits of …

[HTML][HTML] Classification of adaptive back propagation neural network along with fuzzy logic in chronic kidney disease

KR Vineetha, MS Maharajan, K Bhagyashree… - e-Prime-Advances in …, 2024 - Elsevier
A steady deterioration in kidney function over months or years is known as chronic kidney
disease (CKD). Through a range of techniques, such as pharmacological intervention in …

Machine learning models for predicting the onset of chronic kidney disease after surgery in patients with renal cell carcinoma

SW Oh, SS Byun, JK Kim, CW Jeong, C Kwak… - BMC Medical Informatics …, 2024 - Springer
Background Patients with renal cell carcinoma (RCC) have an elevated risk of chronic
kidney disease (CKD) following nephrectomy. Therefore, continuous monitoring and …