Revolutionizing Healthcare: An AI-Powered X-ray Analysis App for Fast and Accurate Disease Detection

Revolutionizing Healthcare: An AI-Powered X-ray Analysis App for Fast and Accurate Disease Detection

Authors

  • Shama Kouser jazan university, saudi arabia
  • Anant Aggarwal (anant241203@gmail.com) Research Scientist, Threws, Delhi, India

Keywords:

AI-powered, mobile application, cost-effective, AI

Abstract

This research paper introduces an innovative AI-powered mobile application designed to transform healthcare diagnostics through X-ray analysis. The proposed app employs advanced artificial intelligence and neural networks to analyze X-ray images of various body parts, enabling rapid and precise detection of common diseases and deformities. By eliminating the need for multiple consultations with different specialists, the app offers an accessible and cost-effective solution for individuals to diagnose themselves. Utilizing deep learning techniques, the app performs individualized analyses of each body part, generating comprehensive reports for diseases such as pneumonia, tuberculosis, and osteoporosis, as well as identifying deformities like scoliosis and kyphosis. Its potential to revolutionize medical diagnosis lies in its user-friendly interface, efficiency, and global accessibility, particularly benefiting remote and underserved regions. Results from this study shed light on the immense benefits AI can bring to medical diagnostics, enhancing accuracy while significantly reducing healthcare costs.

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Published

2023-06-30

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How to Cite

Revolutionizing Healthcare: An AI-Powered X-ray Analysis App for Fast and Accurate Disease Detection . (2023). International Journal of Sustainable Development Through AI, ML and IoT, 2(1), 1-23. https://ijsdai.com/index.php/IJSDAI/article/view/15

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