Mapping the future of medicine through digital twins

Area of Science:

• Medical technology
• Health informatics
• Computational medicine

Background:

• Digital twins are emerging as a powerful paradigm in medicine.
• They offer innovative solutions for complex healthcare challenges.
• Their adoption is rapidly increasing across various medical disciplines.

Purpose of the Study:

• To provide a focused survey of digital twin developments in medicine.
• To highlight promising applications in general health systems, cardiology, oncology, and mental health.
• To discuss challenges and future directions for medical digital twins.

Main Methods:

• Literature review and synthesis of current research on digital twins in healthcare.
• Categorization of applications across different medical fields.
• Analysis of identified challenges and future trends.

Main Results:

• Digital twins show significant promise across general health systems, cardiology, oncology, and mental health.
• Key challenges include data integration, validation, and ethical considerations.
• Future directions involve enhanced personalization and predictive capabilities.

Conclusions:

• Digital twins represent a versatile and transformative paradigm for healthcare.
• Further research and development are needed to overcome current challenges.
• The potential impact of digital twins on patient outcomes and healthcare efficiency is substantial.