… adopt safer AI applications in the health care context. Artificial intelligence (AI) is revolutionizing
health care… The primary aim of AI applications in health care is to analyze links between …

… Taking AI-based clinical decision support systems as a case in point, we adopted a
multidisciplinary approach to analyze the relevance of explainability for medical AI from the …

… In this review, we address the issue of fairness in the clinical integration of artificial intelligence
(AI) in the medical field. As the clinical adoption of deep learning algorithms, a subfield of …

… To garner more profound understanding about responsible AI applications in healthcare,
this paper adopted a systematic literature review (SLR) approach to address topical research …

… tasks, releasing time for healthcare professionals. Future AI … the barriers to AI adoption
within a healthcare system. This is … whether an innovation is ultimately adopted. Of the two …

… (ML), AI-based Digital Decision Support Systems (DDSSs) still suffer from low adoption rates…
to the healthcare industry are rare. We argue that one of the reasons for low adoption rates …

… It is unclear if we will see an incremental adoption of new technologies or radical adoption
of these technological innovations, but the impact of such technologies and the digital …

… ‘It has become imperative for healthcare to adopt technology to change the way it delivers
medicine. That's one of the benefits of the pandemic, there's nothing good about it, but that …

… a huge interest in using artificial intelligence (AI) for breast … of the ground truth between
healthcare systems occur due to … before their adoption into healthcare systems is considered. …

… healthcare delivery. Frost and Sullivan predict that the global AI market in healthcare will …
The chapter delves into the digital transformation of healthcare through AI adoption, …