Advancing clinical MRI exams with artificial intelligence: Japan's contributions and future prospects

Area of Science:

• Medical Imaging
• Artificial Intelligence
• Radiology

Background:

• Artificial intelligence (AI) is increasingly integrated into clinical workflows.
• Magnetic resonance imaging (MRI) offers vast potential for AI-driven advancements.
• Japan has a unique healthcare landscape fostering AI in medical imaging.

Purpose of the Study:

• To review AI applications in clinical MRI exams.
• To highlight Japan's specific contributions and unique environment for AI in MRI.
• To explore AI's role in optimizing MRI processes and clinical decision-making.

Main Methods:

• Narrative review of AI applications in MRI.
• Focus on studies and characteristics specific to Japan.
• Examination of AI's impact on scan protocols, image acquisition, reconstruction, postprocessing, segmentation, and reporting.

Main Results:

• AI optimizes various aspects of the MRI process, including protocols, acquisition, and reconstruction.
• AI assists in clinical decision-making for segmentation, radiotherapy planning, and reporting.
• Japan's high MRI density, universal healthcare, and data initiatives (J-MID) support AI development.

Conclusions:

• AI significantly enhances clinical MRI examinations and decision support.
• Japan's healthcare system provides a conducive environment for AI in MRI research and implementation.
• Collaborative efforts are crucial for advancing AI in clinical MRI for improved patient care and efficiency.