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 …

Artificial Intelligence (AI) is increasingly influential across various sectors, including
healthcare, with the potential to revolutionize clinical practice. However, risks associated …

Artificial Intelligence (AI) carries the potential for unprecedented disruption in radiology, with
possible positive and negative consequences. The integration of AI in radiology holds the …

Abstract Background Artificial Intelligence (AI) technologies have already started impacting
clinical practice across various settings worldwide, including the radiography profession …

Abstract Background AI/ML CAD tools can potentially improve outcomes in the high-stakes,
high-volume model of trauma radiology. No prior scoping review has been undertaken to …

Artificial intelligence is having important developments in the world of digital radiology also
thanks to the boost given to the research sector by the COVID-19 pandemic. In the last two …

Due to its widespread availability, low cost, feasibility at the patient's bedside and
accessibility even in low-resource settings, chest X-ray is one of the most requested …

The exponential growth of artificial intelligence (AI) in the last two decades has been
recognized by many as an opportunity to improve the quality of patient care. However …

Background Artificial intelligence (AI) is transforming various fields, with health care,
especially diagnostic specialties such as radiology, being a key but controversial …

Objectives To define requirements that condition trust in artificial intelligence (AI) as clinical
decision support in radiology from the perspective of various stakeholders and to explore …