Perspective for Future Medicine: Multidisciplinary Computational Anatomy-Based Medicine with Artificial Intelligence.

Area of Science:

• Computational anatomy
• Medical imaging analysis
• Mathematical modeling in medicine

Background:

• Dynamic living human anatomy requires advanced analytical tools for comprehensive understanding.
• Current medical approaches face challenges in diagnosing and treating incurable diseases.
• Multidisciplinary computational anatomy (MCA) emerges as a novel scientific frontier.

Purpose of the Study:

• To introduce a new mathematical modeling method for dynamic human anatomy.
• To enable early detection and intelligent diagnosis/treatment of intractable diseases.
• To integrate diverse data axes for a holistic anatomical understanding.

Main Methods:

• Utilizing medical images integrated with spatial, temporal, functional, and pathological data axes.
• Developing multiscale, temporal, functional, and pathology-based prediction models.
• Employing artificial intelligence to accelerate statistical mathematical analysis.

Main Results:

• MCA provides a mathematical basis for understanding dynamic living human anatomy.
• It enables a new approach to disease diagnosis and treatment.
• Integration of multiple prediction models enhances analytical capabilities.

Conclusions:

• MCA represents a significant advancement in medical science and research.
• It has the potential to overcome current limitations in medicine.
• Fostering an interdisciplinary field of MCA is crucial for future biomedical innovation.