… (AI) has branched out to various applications in healthcare, such as health services … low
use in practice, especially in healthcare. Hence, explainable artificial intelligence (XAI) has been …

… argued that explainable AI will engender trust with the health-… for explainable AI and that
current explainability methods are … We provide an overview of current explainability techniques …

… GrC, FM, sXAI, and Explainability-by-Design could be combined with ongoing research in
… -proof explainable artificial intelligence for healthcare. In any case, explainability should be …

… interaction and artificial intelligence by introducing Explainable artificial intelligence. The main
… Keeping in mind the adherence literature review, we show explainable machine learning …

… We also provide some examples in healthcare predictive modeling. In the next section, we
discuss the importance of explainability in artificial intelligence to gain the trust of health care …

… (XAI) is a new machine-learning research subject aiming at … the need for Explainable AI in
the field of healthcare and some … We will see the use of explainable methods by analyzing two …

… To conduct a systematic scoping review of explainable artificial intelligence (XAI) models
that use real-world electronic health record data, categorize these techniques according to …

… Concerns have been raised about the explainability of the … of explainable artificial intelligence
(XAI), with a primary focus on models that are currently being used in the field of healthcare…

… AI-based systems in providing healthcare solutions. Explainable Artificial Intelligence (XAI)
is a domain … A survey on explainable artificial intelligence (xai): towards medical xai. corr abs/…

… This study presents an improved explainable artificial intelligence tool for hospital … and
healthcare domains. This study aims to enhance the explainability of AI applications in healthcare …