THE ROLE OF RADIOGRAPHERS IN THE ERA OF AI-ASSISTED MAMMOGRAPHY: OPPORTUNITIES, CHALLENGES, AND EVOLVING RESPONSIBILITIES
Keywords:
Artificial intelligence, mammography, radiographers, breast imaging, machine learning, deep learning, image quality, workflow optimization, professional roles, ethicsAbstract
Abstract Views: 71
The use of artificial intelligence (AI) in mammography is a powerful trend that has the potential to completely change the field of breast imaging, offering the possibilities of increasing the accuracy of diagnosis, making the workflow more efficient, and extending the role of radiographers. The entire process of handling medical imaging begins when machine learning and deep learning algorithms enable image acquisition and quality assessment combined with lesion detection and case prioritization which results in decreased recall rates and reduced radiographer workloads. The author of this review looks at the changing roles of radiographers who are working with AI in the field of mammography and stresses the demand for professionals to change and collaborate with other areas of the medical industry. Improved image quality and consistency are the main benefits along with receiving the support of the decision-making process with real-time performance feedback, and having a larger career role in AI workflow management, quality assurance, and research participation. Through responsible and collaborative use of AI, radiographers can not only elevate clinical practice but also participate in improving breast cancer detection and providing evidence-based, patient-centred imaging services. The paper presents multiple opportunities and challenges together with new responsibilities which radiologists must assume to implement AI technology in mammography work while providing essential guidance for clinical practice and educational development and policy creation.
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