AI in Medical Imaging Advancements, Applications, and Challenges

Author(s): John Stephenson

Medical imaging plays a crucial role in modern healthcare, aiding in the diagnosis, treatment, and monitoring of various medical conditions. The integration of artificial intelligence (AI) in medical imaging has emerged as a revolutionary paradigm, offering new opportunities for improved accuracy, efficiency, and patient outcomes. This research article explores the recent advancements, applications, and challenges of AI in medical imaging. We delve into the various AI techniques employed in medical imaging, including machine learning, deep learning, and computer vision. Additionally, we discuss the impact of AI in different imaging modalities, such as X-ray, MRI, CT, and ultrasound. Furthermore, we highlight the benefits and potential limitations of AI in this domain, addressing issues related to data privacy, regulatory concerns, and the need for seamless integration into clinical workflows.