Search Tag: Radiology AI

IMAGING Management

2025 08 Feb

The increasing workload of radiologists has significantly contributed to a rise in reporting errors, posing risks to patient care and diagnostic accuracy. The process of generating radiology reports consists of detecting abnormalities in images and documenting these findings accurately. Errors can occur at both stages, with some resulting from misinterpretations...Read more

IMAGING Management

2025 02 Feb

  Artificial intelligence is increasingly integrated into medical imaging, particularly in the field of neurology, where it has shown potential in the diagnosis and monitoring of multiple sclerosis (MS). With MRI serving as the primary tool for assessing disease activity, AI-based software solutions are designed to assist radiologists in detecting...Read more

IMAGING Management

2024 31 Jul

  Integrating artificial intelligence (AI) in medical diagnostics, particularly in radiology, promises to revolutionise clinical decision-making. However, the pace at which AI technologies are being developed and commercialised significantly outstrips our understanding of their practical value for clinicians. This rapid development has created an...Read more

IMAGING Management

2024 03 Jul

  The American College of Radiology (ACR) has recently launched the ACR Recognised Centre for Healthcare-AI (ARCH-AI), a pioneering quality assurance programme designed to enhance the implementation and oversight of artificial intelligence in radiology. This initiative represents a significant advancement in ensuring that AI technologies are integrated...Read more

IMAGING Management

2024 25 Apr

  Strategies for Addressing Bias in Artificial Intelligence for Medical Imaging The understanding of bias in artificial intelligence (AI) involves recognising various definitions within the AI context. Bias can refer to unequal treatment based on preexisting attitudes, with distinctions between intentional and unintentional bias. Cognitive...Read more