Search Tag: AI radiology
2024 28 Jun
Radiologic reports are traditionally written by radiologists to convey detailed findings from medical imaging to other healthcare professionals. However, as patients become more involved in their healthcare decisions, there is a growing demand for these reports to be easily understandable by patients themselves. This shift towards patient-centred...Read more
2024 28 Jun
Radiologic reports are traditionally written by radiologists to convey detailed findings from medical imaging to other healthcare professionals. However, as patients become more involved in their healthcare decisions, there is a growing demand for these reports to be easily understandable by patients themselves. This shift towards patient-centred...Read more
2024 26 Jun
Artificial intelligence (AI) is revolutionizing medical imaging, and recent research highlights its potential to enhance the detection of incidental pulmonary embolism (IPE) on contrast-enhanced CT (CECT) scans. An article recently published in the American Journal of Roentgenology summarizes a prospective study that assessed the real-world impact...Read more
2024 26 Jun
Artificial intelligence (AI) is revolutionizing medical imaging, and recent research highlights its potential to enhance the detection of incidental pulmonary embolism (IPE) on contrast-enhanced CT (CECT) scans. An article recently published in the American Journal of Roentgenology summarizes a prospective study that assessed the real-world impact...Read more
2024 02 Mar
Clearly, ChatGPT and other large language models (LLM) are one of the potentially most transformative developments in AI to date. Those generative models offer potentials not yet fully perceivable – especially if and how those could be applied in medicine and radiology. This session discussed potential applications of LLMs in radiology, from documentation...Read more