[Research Trends Using Artificial Intelligence in the MRI from 1989 to 2023: Analysis Using Text Mining]

Area of Science:

• Medical Imaging
• Artificial Intelligence
• Radiology

Context:

• Magnetic Resonance Imaging (MRI) research is increasingly integrating Artificial Intelligence (AI).
• Understanding the evolving landscape of AI applications in MRI is crucial for researchers and clinicians.
• Limited comprehensive analyses exist for AI in MRI research trends.

Purpose:

• To visualize and analyze the research areas and trends of Artificial Intelligence in Magnetic Resonance Imaging (MRI).
• To identify key terms, their frequencies, and co-occurrence networks within AI and MRI literature.
• To map the temporal evolution of AI research topics in the MRI field.

Summary:

• A bibliometric analysis of 2870 MRI and AI titles from 1989-2023 was conducted.
• Deep learning emerged as the most frequent and strongly co-occurring term (2019-2023).
• Organ-specific research shows increasing trends for brain, prostate, and breast imaging.

Impact:

• Highlights the significant growth and focus on deep learning within AI-driven MRI research.
• Identifies emerging trends in organ-specific MRI applications, particularly for the brain, prostate, and breast.
• Provides a visual and analytical overview of AI's expanding role in diagnostic imaging and MRI research.