Practical Applications of Artificial Intelligence in Spine Imaging: A Review

Area of Science:

• Radiology
• Medical Imaging
• Artificial Intelligence

Background:

• Artificial intelligence (AI) offers transformative potential in medical imaging.
• Spinal imaging analysis can benefit from AI-driven advancements.

Purpose of the Study:

• To review AI algorithms, techniques, and applications in spine imaging.
• To highlight the diagnostic impact and challenges of AI in spine imaging.
• To discuss future directions for AI integration into clinical workflows.

Main Methods:

• Literature review of AI applications in spine imaging.
• Analysis of AI algorithms and techniques relevant to spinal pathologies.
• Examination of diagnostic impact and workflow integration challenges.

Main Results:

• AI demonstrates significant potential to improve imaging efficiency and diagnostic accuracy for spinal conditions.
• Various AI algorithms and techniques are applicable to diverse spinal pathologies.
• Challenges remain in integrating AI into existing spine imaging workflows.

Conclusions:

• AI integration in spine imaging promises enhanced diagnostic capabilities and patient outcomes.
• Further research and development are needed to overcome integration challenges.
• AI is poised to become an integral part of future spine imaging practices.