Developing an AI-integrated System for X-ray Imaging to Detect Pneumonia and Fractures Using DL (Deep Learning) Techniques

Authors

  • Yousef Qaddoura Department of Electrical and Computer Engineering - Libyan Academy for Graduate Studies – Janzour Author
  • Rahma Mailoud Matouq Department of Electrical and Computer Engineering - Libyan Academy for Graduate Studies – Janzour Author
  • Laila Mailoud Matouq Department of Electrical and Computer Engineering - Libyan Academy for Graduate Studies – Janzour Author

DOI:

https://doi.org/10.65405/41hvbs76

Keywords:

Artificial Intelligence (AI), X-ray, Deep Learning (DL), Convolutional Neural Networks (CNN), Pneumonia Detection, Fracture Detection, Tensor Flow, PyQt6, ResNet-50, MURA, CheXNet, Image Processing.

Abstract

This study aims to develop an integrated artificial intelligence system in conjunction with X-ray imaging devices for the accurate and efficient diagnosis of common medical conditions, such as pneumonia and bone fractures. The proposed system leverages advanced deep learning techniques, particularly convolutional neural networks (CNNs), implemented through the Tensor Flow library. In addition, a user-friendly and interactive interface has been designed using Python programming language and the PyQt6 framework, facilitating seamless interaction between healthcare professionals and the AI system. The integration of AI-driven diagnostic capabilities with X-ray imaging is expected to enhance diagnostic precision, reduce human error, and optimize clinical workflow, ultimately contributing to improved patient outcomes and more efficient healthcare delivery.

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References

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Published

2025-12-06

Issue

Vol. 10 No. 38 (2025): Comprehensive Journal of Science

Section

المقالات

License

Copyright (c) 2025 Comprehensive Journal of Science

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

How to Cite

Developing an AI-integrated System for X-ray Imaging to Detect Pneumonia and Fractures Using DL (Deep Learning) Techniques. (2025). Comprehensive Journal of Science, 10(38), 605-611. https://doi.org/10.65405/41hvbs76