Artificial Intelligence (AI) has emerged as a transformative force in the field of medical imaging diagnostics, revolutionizing the way healthcare providers interpret and analyze medical images. This article explores the pivotal role of AI in enhancing medical imaging diagnostics, encompassing its applications in image interpretation, disease detection, treatment planning and prognostication. Through advanced algorithms and machine learning techniques, AI empowers clinicians with unprecedented accuracy, efficiency and speed in diagnosing various medical conditions from radiological images. Moreover, AI-driven innovations hold promise in personalized medicine, enabling tailored treatment strategies based on individual patient characteristics. Despite remarkable advancements, challenges such as data quality, regulatory compliance and ethical considerations remain pertinent. Therefore, this article also addresses the current landscape, future prospects and ethical implications of AI integration in medical imaging diagnostics.
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Journal of Forensic Medicine received 165 citations as per Google Scholar report
