Deployment of Deep Learning Model in Real World Clinical Setting: A Case Study in Obstetric Ultrasound

arXiv:2404.00032v1 Announce Type: cross
Abstract: Despite the rapid development of AI models in medical image analysis, their validation in real-world clinical settings remains limited. To address this, we introduce a generic framework designed for deploying image-based AI models in such settings. Using this framework, we deployed a trained model for fetal ultrasound standard plane detection, and evaluated it in real-time sessions with both novice and expert users. Feedback from these sessions revealed that while the model offers potential benefits to …

abstract ai models analysis arxiv case case study clinical cs.cv cs.hc deep learning deployment development eess.iv framework image medical study type validation world