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@article{191078,
        author = {Sidheeq.C},
        title = {Revolutionising Radiography: The Integration of Modern Imaging and Artificial Intelligence Technologies},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {8},
        pages = {9015-9022},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=191078},
        abstract = {Radiography and medical imaging have witnessed unprecedented transformation due to rapid advancements in digital technologies and artificial intelligence (AI). Contemporary imaging systems now extend beyond conventional diagnostic purposes, enabling precision-driven, data-informed, and patient-centric healthcare. The integration of AI into radiographic practices has enhanced image acquisition, interpretation, workflow efficiency, and clinical decision-making. This article explores the evolution of modern radiography, examines core imaging modalities, analyses AI applications in medical imaging, and evaluates ethical, professional, and future implications. By situating radiography within the broader framework of digital health innovation, the study highlights how AI-powered imaging technologies are redefining diagnostic accuracy and healthcare delivery in the modern medical landscape.},
        keywords = {Radiography, Medical Imaging Technology, Artificial Intelligence, Digital Radiology, Healthcare Innovation.},
        month = {January},
        }