… by first describing the drivers of modern technological progress and the recent rise of artificial
intelligence (AI). It then considers what current technology trends might mean for the legal …

Background: Artificial intelligence (AI) is exponentially gaining interest and utilization in
medical fields. Deep learning, a particular branch of AI under machine learning, started a …

… to understand the role of artificial intelligence-driven big data … regarding the adoption of
artificial intelligence-driven big data … our theoretical model in the practice-based view which is …

… Artificial intelligence (AI) in health care has grown … to artificially create and simulate human-like
intelligent behavior in … virtually replaced by automation and artificial intelligence tools [3]. …

In this paper, the researcher tried to provide a systematic review and synthesis of practice-based
literature on AI, highlighting what leading industry entities and experts understand by AI …

… roadmap to routine use of artificial intelligence (AI) in pathology 2. The authors highlight the
key points of developing and implementing AI tools for histopathological daily practice. They …

… clinical practice, we need to understand current practices and the contexts in which those
practices are conducted, as well as how AI would fit with or change those ongoing practices …

… clinical practice. In recent decades, artificial intelligence (AI), and in particular machine learning
(… A PubMed search for “artificial intelligence” AND “pharmacology” shows that whereas in …

… Artificial intelligence (AI) is present in many areas of our lives. Much of the digital data … This
review outlines select current and potential AI applications in medical imaging practice and …

… This paper highlights the promise and challenges of artificial intelligence. Significant issues
exist around data collection, model optimisation, implementation and on-going monitoring. …