Artificial Intelligence in Radiology: What Is Its True Role at Present, and Where Is the Evidence?

Alireza Mohseni, Elena Ghotbi, Foad Kazemi, Amirali Shababi, Shayan Chashm Jahan, Anita Mohseni, Niloufar Shababi

Radiol Clin North Am . 2024 Nov;62(6):935-947. doi: 10.1016/j.rcl.2024.03.008. Epub 2024 Apr 24.

Abstract

The integration of artificial intelligence (AI) in radiology has brought about substantial advancements and transformative potential in diagnostic imaging practices. This study presents an overview of the current research on the application of AI in radiology, highlighting key insights from recent studies and surveys. These recent studies have explored the expected impact of AI, encompassing machine learning and deep learning, on the work volume of diagnostic radiologists. The present and future role of AI in radiology holds great promise for enhancing diagnostic capabilities, improving workflow efficiency, and ultimately, advancing patient care.