About this document
AI-Enhanced EUS FNA Testing for Pancreatic Lesions by hetodi5018 is a document available to read on EtoBox.
The document presents a study on the use of Artificial Intelligence (AI) in enhancing adequacy testing for EUS FNA samples from solid pancreatic lesions, demonstrating that the ROSE AId system has a diagnostic accuracy of 92% for malignant lesions. It highlights the advantages and disadvantages of Rapid On-Site Evaluation (ROSE) and discusses the performance of AI-assisted evaluations compared to traditional methods. Additionally, it mentions the potential for improved performance with further training and
- Author
- hetodi5018
- Language
- EN