U.S., Nov. 6 -- ClinicalTrials.gov registry received information related to the study (NCT07918313) titled 'Automated Vetting and Protocolling of MRI Examinations' on Oct. 28.

Brief Summary: Background Vetting and assigning of protocols to MRI scan requests are usually carried out by radiologists and radiographers. This way is both time-consuming and prone to error. Recent improvements in Artificial Intelligence (Al) like Large Language Models (LLMs) are better at processing human language. It could be used to improve tasks like image reporting and assigning protocols in radiology.

Approach Firstly, I will find out about the delays in the way this is currently done. I will use a survey to find out the perceptions of radiologists to both t...