Medical Digital Twin: A Review on Technical Principles and Clinical Applications

Area of Science:

• Digital health twins represent an emerging area of medical technology.
• This field integrates big data, data science (DS), and artificial intelligence (AI) for healthcare applications.

Background:

• Digital twin (DT) technology adoption is expanding across industries, with notable recent growth in the health sector.
• Despite advancements in military and industrial DT applications, healthcare DTs are still in early development stages.

Purpose of the Study:

• To review the cutting-edge digital health twin technology.
• To focus on the application and potential of DTs in neurology.
• To highlight DTs as a significant innovation in the medical industry.

Main Methods:

• This study is a review of current digital twin technology and its applications.
• It synthesizes information on the integration of big data, DS, and AI in healthcare.
• The review specifically examines the neurological applications of digital twins.

Main Results:

• Digital health twins have the potential to transform disease prevention, preservation of health, diagnosis, treatment, and management.
• The convergence of big data, DS, and AI can accelerate R&D in digital health twins.
• Neurology is identified as a key area for the innovative application of this technology.

Conclusions:

• Digital health twins offer a transformative approach to enhancing human existence through improved healthcare.
• Further research and development in DT technology are anticipated to foster global collaboration.
• The ultimate goal is to improve global healthcare standards and quality of life.