Artificial Intelligence in Medical Metaverse: Applications, Challenges, and Future Prospects

Area of Science:

• Medicine and Computer Science
• Information Technology
• Virtual Environments

Background:

• The medical metaverse integrates medicine with advanced technologies like AI, computer science, and IT.
• It transforms doctor-patient communication, medical education, and research within virtual settings.
• AI is a core component, deeply interwoven with technologies such as large language models (LLMs), digital twins, blockchain, and extended reality (VR/AR/XR).

Purpose of the Study:

• To explore the role of AI in developing the medical metaverse.
• To detail AI's specific application scenarios within the medical metaverse.
• To discuss the limitations and future trajectory of AI in the medical metaverse.

Main Methods:

• Review of AI integration in medical metaverse technologies.
• Analysis of AI applications in diagnosis, education, and consulting within virtual environments.
• Examination of supporting technologies like LLMs, digital twins, blockchain, and extended reality.

Main Results:

• AI is a foundational element in building the medical metaverse.
• AI significantly enhances medical metaverse functionalities, including diagnosis, education, and consulting.
• The synergy between AI and metaverse technologies drives innovation in virtual healthcare.

Conclusions:

• AI is essential for the advancement of the medical metaverse.
• Further development of AI will lead to more sophisticated and intelligent virtual medical methods.
• The integration of AI promises to revolutionize healthcare delivery and medical training.