[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 …

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 …

AI applications in renal pathology

Y Huo, R Deng, Q Liu, AB Fogo, H Yang - Kidney international, 2021 - Elsevier
The explosive growth of artificial intelligence (AI) technologies, especially deep learning
methods, has been translated at revolutionary speed to efforts in AI-assisted healthcare …

A comprehensive unsupervised framework for chronic kidney disease prediction

L Antony, S Azam, E Ignatious, R Quadir… - IEEE …, 2021 - ieeexplore.ieee.org
The incidence, prevalence, and progression of chronic kidney disease (CKD) conditions
have evolved over time, especially in countries that have varied social determinants of …

Recent advances and clinical outcomes of kidney transplantation

C Thongprayoon, P Hansrivijit, N Leeaphorn… - Journal of Clinical …, 2020 - mdpi.com
Recent advances in surgical, immunosuppressive and monitoring protocols have led to the
significant improvement of overall one-year kidney allograft outcomes. Nonetheless, there …

Physics-informed neural networks for estimating stress transfer mechanics in single lap joints

S Sharma, R Awasthi, YS Sastry… - Journal of Zhejiang …, 2021 - Springer
With the explosive growth of computational resources and data generation, deep machine
learning has been successfully employed in various applications. One important and …

Complex predictive analysis for health care: a comprehensive review

D Srivastava, H Pandey, AK Agarwal - Bulletin of Electrical Engineering …, 2023 - beei.org
Healthcare organizations accept information technology in a management system. A huge
volume of data is gathered by healthcare system. Analytics offers tools and approaches for …

Explainable preoperative automated machine learning prediction model for cardiac surgery-associated acute kidney injury

C Thongprayoon, P Pattharanitima, AG Kattah… - Journal of clinical …, 2022 - mdpi.com
Background: We aimed to develop and validate an automated machine learning (autoML)
prediction model for cardiac surgery-associated acute kidney injury (CSA-AKI). Methods …