التفاصيل البيبلوغرافية
| العنوان: |
Procedural phase recognition in endoscopic submucosal dissection (ESD) using artificial intelligence (AI). |
| المؤلفون: |
Scheppach, M. W., Nunes, D. Weber, Arizi, X., Rauber, D., Probst, A., Nagl, S., Römmele, C., Meinikheim, M., Palm, C., Messmann, H., Ebigbo, A. |
| المصدر: |
Endoscopy; 2024 Supplement 2, Vol. 56, pS439-S439, 1p |
| مصطلحات موضوعية: |
ARTIFICIAL intelligence, TRANSFORMER models, DISSECTION |
| مستخلص: |
This article, published in the journal Endoscopy, discusses the use of artificial intelligence (AI) algorithms to recognize different phases of endoscopic submucosal dissection (ESD) procedures. The researchers compiled a training dataset of over 360,000 images from ESD videos and used a Video Swin transformer to classify each frame into one of five procedural phases. The algorithm achieved high sensitivities and specificities for each phase, indicating its potential for real-time quality assessment and automation of reporting. The authors suggest that future research could focus on developing quality metrics based on single-operator phase distribution. [Extracted from the article] |
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| قاعدة البيانات: |
Complementary Index |
