Nicolai Schoch

TL;DR: Interventional healthcare will evolve from an artisanal craft based on the individual experiences, preferences and traditions of physicians into a discipline that relies on objective decision-making on the basis of large-scale data from heterogeneous sources.

TL;DR: In this article, the authors provide a consensus definition for Surgical Data Science, identify associated challenges and opportunities, and provide a roadmap for advancing the field, based on discussions during an intensive two-day international interactive workshop that brought together leading researchers working in the related field of computer assisted interventions.

TL;DR: This document summarizes the key findings of the 1st workshop on Surgical Data Science, which brought together researchers working on diverse topics in surgical data science in order to discuss existing challenges, potential standards and new research directions in the field.

TL;DR: This work presents a fully automated chain of preprocessing operators for setting up comprehensive, patient-specific biomechanical models on the basis of patient-individual medical data and shows how simulation preprocessing can be both fully automated and still patient- specific, when using a series of dedicated MVR data analytics operators.

TL;DR: This paper presents a generalized and flexible description for biomechanical models in XML, and details the XML-based modeling scheme, but also presents a concrete implementation.