Feb. 15, 2024, 5:43 a.m. | Kyungsu Kim, Junhyun Park, Saul Langarica, Adham Mahmoud Alkhadrawi, Synho Do

cs.LG updates on arXiv.org arxiv.org

arXiv:2402.09358v1 Announce Type: cross
Abstract: This study demonstrates the first in-hospital adaptation of a cloud-based AI, similar to ChatGPT, into a secure model for analyzing radiology reports, prioritizing patient data privacy. By employing a unique sentence-level knowledge distillation method through contrastive learning, we achieve over 95% accuracy in detecting anomalies. The model also accurately flags uncertainties in its predictions, enhancing its reliability and interpretability for physicians with certainty indicators. These advancements represent significant progress in developing secure and efficient AI …

abstract analysis arxiv case case study chatgpt cloud cloud-based cs.ai cs.lg data data privacy distillation hospital knowledge networks patient privacy radiology report reports study through type

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