An AI model significantly improved the accuracy of diagnosing solid lesions in the pancreas among both novice and experienced endoscopists in a randomized trial.
An artificial intelligence model integrating both clinical information and endoscopic ultrasonographic images can aid in the differential diagnosis of solid pancreatic lesions, new research shows. Researchers in China used clinical information and EUS images from 439 patients with solid pancreatic lesions to train and validate an AI model's ability to distinguish cancer from noncancerous pancreatic lesions.
In a randomized crossover trial, 12 endoscopists with varying levels of expertise from four centers across China diagnosed solid pancreatic lesions with or without assistance from the AI model. Researchers tested the model's performance internally and externally using retrospective datasets with 628 patients and a prospective dataset with 130 patients. They compared diagnostic accuracy of endoscopists with and without AI assistance.The AI model demonstrated robustness across internal and external cohorts, with the area under the curve of 0.996 in the internal test dataset and between 0.924 and 0.976 in external testing.
Health And Medical Tech Health And Med Tech Health And Medical Technology Healthcare Technology Medical Technology Artificial Intelligence Deep Learning AI NPL Machine Learning ML Natural Language Processing Artificial Neural Networks Pancreas Cancer Malignant Neoplasia Carcinoma Malignant Neoplasm Geriatrics Elder Care Geriatric Medicine
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