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arXiv 2111.08165cs.LGcs.CVeess.IV

RapidRead: Global Deployment of State-of-the-art Radiology AI for a Large Veterinary Teleradiology Practice

Mars Digital Technologies(玛氏数字技术公司);Antech Imaging Services(安泰奇影像服务公司);Stanford University(斯坦福大学)

Michael Fitzke, Conrad Stack, Andre Dourson, Rodrigo M. B. Santana, Diane Wilson, Lisa Ziemer, Arjun Soin, Matthew P. Lungren, Paul Fisher, Mark Parkinson

英文摘要:

This work describes the development and real-world deployment of a deep learning-based AI system for evaluating canine and feline radiographs across a broad range of findings and abnormalities. We describe a new semi-supervised learning approach that combines NLP-derived labels with self-supervised training leveraging more than 2.5 million x-ray images. Finally we describe the clinical deployment of the model including system architecture, real-time performance evaluation and data drift detection.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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