[Current problems in the data acquisition of digitized virtual human and the countermeasures]

Area of Science:

• Digital human modeling
• Medical informatics
• Biomedical research

Context:

• The Virtual Chinese Human project is a significant undertaking in medical science research.
• Digitized virtual human research is a rapidly evolving field with global attention.
• Existing virtual human datasets face challenges in data storage and acquisition techniques.

Purpose:

• To critically analyze existing virtual human datasets worldwide.
• To identify and address challenges in data acquisition for the Virtual Chinese Human project.
• To propose actionable countermeasures for improving virtual human dataset development.

Summary:

• This paper examines nine established virtual human datasets, highlighting issues in data acquisition, storage, and employed techniques.
• The study focuses on the Virtual Chinese Human project, proposing improvements for data acquisition.
• Key recommendations include prioritizing quality control, enhancing tissue-specific markers, and ensuring dataset relevance for actual applications.

Impact:

• The proposed countermeasures aim to advance the development of comprehensive and applicable virtual human datasets.
• Improved data acquisition strategies will support the long-term development of digitized virtual humans.
• This research contributes to the foundational efforts required for the full realization of virtual human technologies in medicine.