https://www.aijournals.com/index.php/ajmr/issue/feed Asian Journal of Medical Research 2025-12-31T11:00:50+00:00 Dr. Rohit Kumar Varshney dir.aijournals@gmail.com Open Journal Systems <p><strong class="pull-left">Asian Journal of Medical Research (AJMR)</strong>&nbsp;&nbsp;is an open-access, freely accessible, online and print quarterly peer-reviewed international journal publishes a wide spectrum of advanced research on all medical specialties including ethical and social issues. AJMR is a gateway to enlighten the latest research/issues happening all around the world of medical and health sciences. <br><strong>Online ISSN: 2277-7253 | Print ISSN: 2347-3398</strong></p> https://www.aijournals.com/index.php/ajmr/article/view/2652 Opportunistic Imaging for Osteoporosis Screening: A New Frontier in Fracture Risk Assessment 2025-12-31T11:00:50+00:00 Shivanshu Chauhan aijournals@gmail.com Ashish Kumar Shukla aijournals@gmail.com Anshu Kumari aijournals@gmail.com Bharat Bhushan Dagur aijournals@gmail.com Vratika Arya aijournals@gmail.com Yashika Sharma aijournals@gmail.com <p>Osteoporosis remains a major health issue because most people do not realize they have low bone strength until they suffer a fracture. Standard tests like DXA are reliable but not always available or routinely used, which leaves many cases undetected. This has led to growing interest in using imaging that patients are already undergoing for other reasons. These scans often contain valuable information about bone quality, and reviewing them can help flag people at risk long before symptoms appear. Recent work shows that CT scans are particularly useful. Simple measurements such as vertebral Hounsfield Units correlate well with DXA values and can help identify osteopenia or osteoporosis without extra radiation or cost. Dental panoramic films and hand radiographs can also provide clues through cortical thickness and trabecular patterns. MRI adds another dimension by capturing marrow composition and microarchitecture, giving a deeper look at bone health without ionizing radiation. Artificial intelligence is beginning to strengthen this field. Automated tools can measure bone density surrogates, analyze trabecular structure and highlight high-risk patients in routine workflows. These systems can also link with existing hospital software to make screening more efficient. While there are challenges related to standardization, training and workflow adoption, the potential advantages are significant. Opportunistic imaging can turn everyday scans into powerful screening tools, improving early detection and reducing the burden of fractures. As AI develops further and reporting becomes more consistent, this approach could play a central role in closing the diagnostic gap and improving public health outcomes.</p> 2025-12-31T00:00:00+00:00 Copyright (c) 2025 Author