The recent advancements in artificial intelligence (AI) combined with the extensive amount
of data generated by today's clinical systems, has led to the development of imaging AI …

The idea of using artificial intelligence (AI) in medical practice has gained vast interest due
to its potential to revolutionise healthcare systems. However, only some AI algorithms are …

An increasing number of unanswered questions made us unsettled about the evolution of
radiology and its current ability to keep up with the pace of healthcare transformation. The …

The hype over artificial intelligence (AI) has spawned claims that clinicians (particularly
radiologists) will become redundant. It is still moot as to whether AI will replace radiologists …

Artificial intelligence (AI) has great potential to accelerate scientific discovery in medicine
and to transform healthcare. In radiology, AI is about to enter into clinical practice and has a …

Purpose To recognize and address various sources of bias essential for algorithmic fairness
and trustworthiness and to contribute to a just and equitable deployment of AI in medical …

Artificial intelligence (AI) software that analyzes medical images is becoming increasingly
prevalent. Unlike earlier generations of AI software, which relied on expert knowledge to …

This comprehensive review unfolds a detailed narrative of Artificial Intelligence (AI) making
its foray into radiology, a move that is catalysing transformational shifts in the healthcare …

The integration of artificial intelligence (AI) into medical imaging has guided in an era of
transformation in healthcare. This literature review explores the latest innovations and …

Artificial intelligence (AI) has recently become a very popular buzzword, as a consequence
of disruptive technical advances and impressive experimental results, notably in the field of …