GPT-4 generated highly accurate pancreatic cancer synoptic reports from original reports, outperforming GPT-3.5. Using GPT-4 reports instead of original reports, surgeons were able to better assess tumor resectability in patients with pancreatic ductal adenocarcinoma and saved time evaluating reports. Compared with original reports, structured imaging reports help surgeons assess tumor resectability in patients with pancreatic ductal adenocarcinoma.
To determine whether converting free-text radiology reports into structured reports can benefit surgeons, researchers evaluated how well GPT-4 and GPT-3.5 were able to generate pancreatic ductal adenocarcinoma synoptic reports from originals. The retrospective study included 180 consecutive pancreatic ductal adenocarcinoma staging CT reports, which were reviewed by two radiologists to establish a reference standard for 14 key findings and National Comprehensive Cancer Network resectability category.
Researchers prompted GPT-3.5 and GPT-4 to create synoptic reports from original reports using the same criteria, and surgeons compared the precision, accuracy, and time to assess the original and artificial intelligence –generated reports.GPT-4 outperformed GPT-3.5 on all metrics evaluated. For instance, compared with GPT-3.5, GPT-4 achieved equal or higher F1 scores for all 14 key features .
GPT-4 also demonstrated greater precision than GPT-3.5 for extracting superior mesenteric artery involvement and for categorizing resectability.The AI-generated reports did lead to some clinically notable errors. GPT-4, for instance, made errors in extracting common hepatic artery involvement."In our study, GPT-4 was near-perfect at automatically creating pancreatic ductal adenocarcinoma synoptic reports from original reports, outperforming GPT-3.5 overall," the authors wrote.
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