Health Imaging July 19, 2024
Artificial intelligence can improve the performance of novice endoscopists conducting ultrasound procedures on solid pancreatic lesions, improving clinical diagnoses.
Endoscopic ultrasonography (EUS) has emerged as a valuable tool for diagnosing pancreatic cancer, but its specificity in differentiating between benign and malignant pancreatic lesions is lacking. Further, operator experience has a significant impact on performance, creating questions about the modality’s diagnostic accuracy, authors of a new analysis in JAMA Network Open explain.
“Given the deep learning curve of the EUS examination and the lack of standardized and sufficient training procedures, the diagnostic ability varies greatly among endoscopists, particularly for less-experienced individuals,” Aiming Yang, MD, from the department of gastroenterology at Peking Union Medical College Hospital in China, and co-authors...
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