The Role of Artificial Intelligence in Radiology

Otieno Karanja J.

Faculty of Medicine Kampala International University Uganda

ABSTRACT

Technological advancements in artificial intelligence (AI) are transforming the healthcare industry, particularly in the area of radiology. This paper critically examines the use of artificial intelligence (AI) in medical imaging, with a specific focus on machine learning, especially deep learning, in the areas of image processing, diagnosis, and workflow optimisation. The applications of artificial intelligence in radiology include the enhancement of picture acquisition, the improvement of diagnostic accuracy, and the optimisation of operations in imaging modalities such as CT, MRI, and ultrasound. Despite the vast promise of AI, there are still obstacles to overcome in terms of clinical implementation, regulatory obstacles, and incorporation into current healthcare infrastructure. Effectively resolving these concerns will be crucial for the complete incorporation of AI into radiology, since the cooperation between AI systems and radiologists is expected to significantly influence the future of medical imaging.

Keywords: Artificial intelligence, radiology, deep learning, medical imaging, machine learning.

CITATION: Otieno Karanja J. The Role of Artificial Intelligence in Radiology. Research Output Journal of Biological and Applied Science, 2024 3(3):27-30.