Model-based treatment in surgery

BackgroundThe magic triangle in surgery and other disciplines consists of the demand for increasingly gentler forms of treatment, simultaneous cost reduction and the fundamental primacy of improving the quality of results. The digitalization of medicine offers apromising opportunity to do justice to this, also in the sense of Surgery4.0. The aim is to create acognitive, collaborative diagnostics and treatment environment to support the surgeon.MethodsIn the sense of atheory building for analysis and planning, process modeling is the cornerstone for modern treatment planning. The main distinction is made between the patient model and the treatment model. The course of the actual surgical treatment can also be modeled: in principle it is possible to describe the course of an operation in such fine detail that the surgical procedure can be mapped and reproduced down to each single step, such as a single implementation of forceps. Basically, this has already been achieved. So-called neural networks also open up completely new forms of knowledge acquisition, machine learning and flexible reaction to nearly all conceivable possibilities in highly complex processes.ConclusionDigitalization is anecessary development in surgery. It offers not only countless possibilities to support the surgeon in the field of activity but also the chance of more precise data acquisition with respect to academic surgery. Modeling is an indispensable part of this and must be rigorously implemented and further developed.