Clinician's guide to trustworthy and responsible artificial intelligence in cardiovascular imaging
A growing number of artificial intelligence (AI)-based systems are being proposed and
developed in cardiology, driven by the increasing need to deal with the vast amount of …
developed in cardiology, driven by the increasing need to deal with the vast amount of …
[HTML][HTML] An improved explainable artificial intelligence tool in healthcare for hospital recommendation
YC Wang, TCT Chen, MC Chiu - Healthcare Analytics, 2023 - Elsevier
Artificial intelligence (AI) technologies have been widely applied in medicine and
healthcare. Explainable AI (XAI) has been proposed to make AI applications more …
healthcare. Explainable AI (XAI) has been proposed to make AI applications more …
Evaluating the sustainability of smart technology applications in healthcare after the COVID-19 pandemic: a hybridising subjective and objective fuzzy group decision …
TCT Chen, MC Chiu - Digital Health, 2022 - journals.sagepub.com
During the COVID-19 pandemic, some smart technology applications were more effective
than had been expected, whereas some others did not achieve satisfactory performance …
than had been expected, whereas some others did not achieve satisfactory performance …
[图书][B] (Un) explainable Technology
H Kempt - 2024 - books.google.com
This book explores the issue of (un) explainable technology. As we face technologies,
mostly autonomous, machine-learned algorithms (AI) that elude a seamless explanation on …
mostly autonomous, machine-learned algorithms (AI) that elude a seamless explanation on …
Epistemological Conditions
H Kempt - (Un) explainable Technology, 2024 - Springer
In this chapter, we explore under what conditions explanations about technology amount to
knowledge, and how this knowledge can be used further. In first determining that the level of …
knowledge, and how this knowledge can be used further. In first determining that the level of …
An Explainable Deep-Learning Approach for Job Cycle Time Prediction
TCT Chen, YC Wang - Available at SSRN 4136028 - papers.ssrn.com
Deep neural networks (DNNs) have been applied to accurately predict the cycle times of
jobs in a factory. However, the prediction mechanism of a DNN is difficult to understand and …
jobs in a factory. However, the prediction mechanism of a DNN is difficult to understand and …