Transforming Medical Imaging: Exploring the Role of Artificial Intelligence in Radiology- An Updated Review Article

Abstract

Background:Radiology has significantly evolved, from its inception with X-rays to the integration of advanced imaging technologies and artificial intelligence (AI). The fusion of AI and machine learning (ML) in radiology is transforming diagnostic practices, improving efficiency, and expanding therapeutic possibilities. As these technologies continue to develop, they are revolutionizing patient care and medical imaging workflows.

Aim:This review aims to explore the role of AI and ML in radiology, examining their historical development, integration into current imaging techniques, and future potential. The paper discusses AI's impact on diagnostic accuracy, efficiency, and the ethical challenges that arise from these technologies.

Methods:The article reviews significant advancements in medical imaging, the application of AI and ML in radiology, and real-world case studies. It includes an analysis of AI methodologies, such as deep learning and neural networks, and how they have improved diagnostic imaging, including the integration of virtual and augmented reality (VR/AR).

Results:The review highlights how AI and ML have improved diagnostic precision, particularly in areas like image segmentation and anomaly detection. AI’s ability to process large datasets and enhance radiological workflows has led to more efficient patient care. Despite these advancements, the integration of AI faces challenges such as algorithmic biases, data privacy concerns, and the need for more transparent AI decision-making processes.

Conclusion:AI and ML are pivotal in the future of radiology, offering considerable benefits in diagnostic accuracy, treatment planning, and patient outcomes. However, successful integration of these technologies requires addressing ethical, legal, and societal challenges to ensure that advancements are beneficial and equitable for all stakeholders. As these technologies continue to evolve, the future of AI-enhanced radiology appears promising, with potential to significantly transform healthcare.