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Found 4 papers, 1 papers with code
Integrating ChatGPT into Secure Hospital Networks: A Case Study on Improving Radiology Report Analysis
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.
Practical Window Setting Optimization for Medical Image Deep Learning
The recent advancements in deep learning have allowed for numerous applications in computed tomography (CT), with potential to improve diagnostic accuracy, speed of interpretation, and clinical efficiency.
Machine Friendly Machine Learning: Interpretation of Computed Tomography Without Image Reconstruction
Recent advancements in deep learning for automated image processing and classification have accelerated many new applications for medical image analysis.
How much data is needed to train a medical image deep learning system to achieve necessary high accuracy?
In this paper, we present a study on determining the optimum size of the training data set necessary to achieve high classification accuracy with low variance in medical image classification systems.
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