X-Ray
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Comparative Analysis and Future Research Directions in AI in Healthcare: Medical Imaging and Diagnostics
Abstract: Artificial intelligence (AI) is reshaping healthcare, particularly in the areas of medical imaging and diagnostic practice. By using advanced techniques like machine learning and deep learning, AI systems help improve the accuracy, speed, and effectiveness of identifying diseases and analyzing medical images. This paper provides a comprehensive overview of the application of artificial intelligence in medical imaging and highlights its growing importance in clinical diagnostics. It discusses how AI-based systems …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 4, Issue 1, 2026 · pp. 8–13 Read article
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Investigation of Dielectric Properties of Lead-Free BaTiO3 Ceramic at Different Sintering Temperatures
Abstract: In the present study, Barium titanate (BaTiO3) was produced using the conventional solid-state sintering technique at three distinct sintering temperatures: 1000, 1100, and 1200°C. It was confirmed by the X-ray diffraction pattern that the perovskite phase was formed without secondary peaks and that the presence of the tetragonal phase was observed near room temperature. Upon conducting a frequency- dependent dielectric study, it was found that ceramic sintered at 1100°C exhibited …
Published in Recent Trends in Fluid Mechanics · Vol. 12, Issue 1, 2025 · pp. 23–30 Read article
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Detection of Pneumonia in COVID-19 Patients Using X-ray Images
Abstract: This study explores the use of chest X-ray image analysis and deep learning methods to identify pneumonia in COVID-19 patients. Due to the pandemic, Proper as well as immediate examination of COVID-19 is now essential for patient care and disease control. This study proposes a novel approach that uses convolutional neural networks (CNNs) to automatically predict pneumonia in COVID-19 patients using chest X-ray images. In this study, an X-ray of …
Published in International Journal of Radio Frequency Innovations · Vol. 1, Issue 1, 2023 · pp. 13–23 Read article