Anatomatics

Anatomatics is an integrated and standardized digital network atlas of human anatomy, which maps most elements of the human body (bones, joints, muscles, vessels, ligaments, and organs), and their different kinds of relations.

It can be used to render interactive and dynamic visualizations, to perform quantifiable analysis of the topological network properties according to the tools of network science, as well as computational simulations, which could even include physical properties, and ultimately provide a fundamental structure to build and refer upon, with the necessary complexity while nonetheless maintaining abstract simplicity and control. It can naturally accommodate several layers of complexity and integrate canonical anatomical ontologies. It represents what could be called a "transcognitive structure", something which can be used to both aid humans, as in teaching medical students, even with AR and VR, or clinical planning, and computers, as a symbolic AI contribution to create a semantic structure which provides solid meaning for each anatomical element, audited by human specialists, overcoming some of the downsides of simple statistical patterns and text parsing, as seen with ChatGPT, and potentially further enhancing their development.

It can be discussed and changed by consensus of anatomists, and it can accommodate variations in human anatomy, both in general and in the case of individual patients.

In certain aspects, we could see it as a living structure, beyond the static and linguistic nature of textbooks and the detail-oriented content of 3D models, with properties of the real anatomy and which can change over time. 

Just like we did with the subway line diagrams, Google Maps, etc.

An approach already tested and used by other researchers.

And it's not just "abstractions". It's levels of abstraction. It gives us freedom and control over the content. Indeed, we can go very deep into detailed structures and even custom modifications or replicas.