This article explores the potential of using artificial intelligence (AI), specifically ChatGPT-4, to enhance the accuracy and efficiency of radiological report review. Radiological exams, particularly MRIs and CT scans, can be complex and time-consuming to interpret, and errors in reports can have significant consequences.
The study involved collecting 200 radiological reports, with 150 common errors (such as omissions, insertions, syntax errors, and left-right confusion) artificially introduced into 100 of them. These reports were then reviewed by six radiologists with varying levels of experience, as well as by ChatGPT-4.
The results showed that the error detection rate of ChatGPT-4 (82.7%) approached that of the senior radiologists (89.3%), with no statistically significant difference between the groups. One senior radiologist stood out with a 94.7% error detection rate. Importantly, the time taken by ChatGPT-4 to detect errors (3.5 ± 0.5 seconds) was significantly faster than the radiologists (25.1 ± 20.1 seconds). The cost-effectiveness of using ChatGPT-4 for this task was also highlighted, with an estimated cost of $0.03 ± 0.01 per report, compared to $0.42 ± 0.41 for radiologists.
The study suggests that AI-powered tools like ChatGPT can be valuable in assisting radiologists by identifying common errors in radiological reports, potentially improving report accuracy and reducing the workload on medical professionals. However, the authors note that these results should be confirmed through prospective studies, and that training the conversational agent to detect errors may not be accessible to all imaging services or departments at the moment.
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by Philippe Tel... klo www.medscape.com 06-19-2024
https://www.medscape.com/viewarticle/can-ai-eliminate-errors-radiological-reports-2024a1000bdbSyvällisempiä Kysymyksiä