Volume 1, Issue 3·December 2024·5 articles
Avinash Chaubey
December 2024: 1(3):1–8
Early detection of pulmonary nodules is crucial for improving lung cancer prognosis. Deep learning (DL) algorithms have emerged as promising tools for automated nodule detection in chest CT scans, offering potential to enhance diagnostic accuracy and...
Kallal Das
December 2024: 1(3):9–11
Traditional computer-aided detection (CAD) systems have supported radiologists in mammographic interpretation for over two decades, yet their contribution to diagnostic improvement has been limited by high false-positive rates and inconsistent performance acro...
Santosh Kumar Singh
December 2024: 1(3):12–18
Background: Artificial intelligence (AI) is increasingly integrated into medical imaging, offering potential improvements in diagnostic accuracy, workflow efficiency, and patient care. However, successful adoption depends on healthcare professionals’ per...
Amit Kumar
December 2024: 1(3):19–22
Artificial intelligence (AI) is rapidly transforming medical imaging by enabling automated interpretation of images, workflow optimization, and advanced quantitative analysis. Over the past decade, AI techniques, including machine learning, deep learning, and...
Mohd Sameer
December 2024: 1(3):23–30
Background: Occupational exposure to ionizing radiation remains a significant concern for healthcare professionals working in medical imaging facilities. A strong radiation safety culture is essential for minimizing radiation-related risks and promoting safe w...
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