Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011–2022)
Background and objectives Artificial intelligence (AI) has branched out to various
applications in healthcare, such as health services management, predictive medicine …
applications in healthcare, such as health services management, predictive medicine …
Artificial intelligence in healthcare: review, ethics, trust challenges & future research directions
The use of artificial intelligence (AI) in medicine is beginning to alter current procedures in
prevention, diagnosis, treatment, amelioration, cure of disease and other physical and …
prevention, diagnosis, treatment, amelioration, cure of disease and other physical and …
[HTML][HTML] Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond
Abstract Explainable Artificial Intelligence (XAI) is an emerging research topic of machine
learning aimed at unboxing how AI systems' black-box choices are made. This research field …
learning aimed at unboxing how AI systems' black-box choices are made. This research field …
A human-centered evaluation of a deep learning system deployed in clinics for the detection of diabetic retinopathy
E Beede, E Baylor, F Hersch, A Iurchenko… - Proceedings of the …, 2020 - dl.acm.org
Deep learning algorithms promise to improve clinician workflows and patient outcomes.
However, these gains have yet to be fully demonstrated in real world clinical settings. In this …
However, these gains have yet to be fully demonstrated in real world clinical settings. In this …
" Hello AI": uncovering the onboarding needs of medical practitioners for human-AI collaborative decision-making
Although rapid advances in machine learning have made it increasingly applicable to expert
decision-making, the delivery of accurate algorithmic predictions alone is insufficient for …
decision-making, the delivery of accurate algorithmic predictions alone is insufficient for …
A systematic survey of computer-aided diagnosis in medicine: Past and present developments
J Yanase, E Triantaphyllou - Expert Systems with Applications, 2019 - Elsevier
Computer-aided diagnosis (CAD) in medicine is the result of a large amount of effort
expended in the interface of medicine and computer science. As some CAD systems in …
expended in the interface of medicine and computer science. As some CAD systems in …
To explain or not to explain?—Artificial intelligence explainability in clinical decision support systems
Explainability for artificial intelligence (AI) in medicine is a hotly debated topic. Our paper
presents a review of the key arguments in favor and against explainability for AI-powered …
presents a review of the key arguments in favor and against explainability for AI-powered …
Assertiveness-based agent communication for a personalized medicine on medical imaging diagnosis
FM Calisto, J Fernandes, M Morais… - Proceedings of the …, 2023 - dl.acm.org
Intelligent agents are showing increasing promise for clinical decision-making in a variety of
healthcare settings. While a substantial body of work has contributed to the best strategies to …
healthcare settings. While a substantial body of work has contributed to the best strategies to …
Unremarkable AI: Fitting intelligent decision support into critical, clinical decision-making processes
Clinical decision support tools (DST) promise improved healthcare outcomes by offering
data-driven insights. While effective in lab settings, almost all DSTs have failed in practice …
data-driven insights. While effective in lab settings, almost all DSTs have failed in practice …
[HTML][HTML] Reasons for physicians not adopting clinical decision support systems: critical analysis
Background: Clinical decision support systems (CDSSs) are an integral component of
today's health information technologies. They assist with interpretation, diagnosis, and …
today's health information technologies. They assist with interpretation, diagnosis, and …