Search Tag: Radiology AI
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
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
2025 04 Feb
The rapid advancement of large language models (LLMs) has led to increasing interest in their application within medical diagnostics. While traditional text-based models have demonstrated potential in clinical decision-making, newer multimodal models such as OpenAI’s GPT-4 with vision (GPT-4V) introduce the capability to process both textual and...Read more
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
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
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
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
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
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
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
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
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