An international research team has developed an AI tool that is highly accurate in detecting and differentiating pleomorphic pancreatic lesions.
PHILADELPHIA — Researchers have developed an artificial intelligence tool capable of detecting and differentiating cystic and solid pancreatic lesions during endoscopic ultrasound with high accuracy.
EUS is the “gold standard” for pancreatic lesion evaluation, but its diagnostic accuracy is suboptimal, particularly for lesions < 10 mm, Mascarenhas noted. The AI tool demonstrated 99.1% accuracy for identifying normal pancreatic tissue, and it showed 99% and 99.8% accuracy for M-PCL and NM-PCL, respectively.
The study is based on still images, not full videos, he noted. As a next step, the team is conducting a multicenter study focused on real-time clinical validation of the model during EUS procedures.
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 Endoscopic Imaging Endoscopic Ultrasound Endoscopic Ultrasonography EUS - Endoscopic Ultrasonography
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