… This paper explores the integration of artificial intelligence (AI) in nursing and its implications
for healthcare research and academic writing. The use of AI in healthcare has become …

… from social engines, the AI-based marketing application is now taking a wide leap. This
article attempts to address the prominent use of Artificial Intelligence (AI) in marketing in term of …

… Artificial intelligence (AI) is being applied in various fields of cardiology. In particular, deep
learning (DL), a subset of machine learning (ML) in AI, enables the diagnosis and prediction …

… possible pitfalls arising from using Artificial Intelligence (AI) … The presented list of pitfalls
was identified through exploring … In addition to the list of pitfalls we also present a checklist …

… [...]claims made by artificial intelligence vendors are difficult to validate … artificial intelligence
applications available within an imaging workflow locally, but also allow these applications to …

… Hence, we outline in more detail the unique potentials and pitfalls for AIACT in top-down
and bottom-up approaches along the factors of input data, algorithmic design and institutional …

… Recognizing the potential benefits of applying artificial intelligence algorithms in exam
writing, we describe the results of utilizing GPT-4 to write a 210 MCQs medical examination. The …

… wish to go and which traps and pitfalls might lead us astray. In … tragic missteps, we highlight
critical pitfalls of applying AI/ML … critical pitfalls in the application of intelligent machines with …

… Therefore, include such a diagram in every Al application you file. In addition, our understanding
is that European applications benefit from showing a breakdown of the software into …

… After decades of development and many false dawns Artificial Intelligence (AI), in its various
guises, finally appears poised for mainstream commercial adoption. The financial sector, in …