AI-Pathway Companion1, a CE marked2 clinical decision support solution, enables personalized and standardized care along care pathways. The intelligent clinical decision support solution aims to facilitate diagnosis and therapeutic decisions with a clear goal: improving patient outcomes along disease-specific pathways3.
In 2020 we officially presented our first CE-marked pathway – Prostate Cancer1. Now we are expanding the portfolio and we are introducing the AI-Pathway Companion for non-small cell lung cancer4.
Through ongoing development and refinement of data interfaces, we aim to increase the number of disease parameters captured throughout the clinical pathway, thereby expanding the relevant data points with the goal of advancing cancer care. We are looking forward to partnering with even more healthcare institutions on optimizing the AI-Pathway Companion solution to their routine clinical practice and preferred lung cancer workflow.
Lung cancer is the second most diagnosed cancer (11.6% of the total cases) and the leading cause of cancer death (18.4% of the total cancer deaths) among men and women combined5.
AI-Pathway Companion supports key challenges in diagnosis and treatment of non-small cell lung cancer by… 1, 4
… providing the ability to have a quick snapshot overview
AI-Pathway Companion applications are not commercially available in all countries. Their future availability cannot be guaranteed.
AI-Pathway Companion Prostate Cancer VA10B/VC10A is CE-compliant in accordance with Directive 93/42/EEC.
Prerequisite: “All data is available as required per guideline.”; Feature dependent on quality of input data.
AI-Pathway Companion Lung Cancer VA10A supports single primary tumor and non-small cell Lung cancer cases only.
Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries.
This function is supported by AI-Pathway Companion Connector.
The statements by Siemens Healthineers’ customers described herein are based on results that were achieved in the customer's unique setting. Because there is no “typical” hospital or laboratory and many variables exist (e.g., hospital size, samples mix, case mix, level of IT and/or automation adoption) there can be no guarantee that other customers will achieve the same results.
Physician is employed by an institution that receives financial support from Siemens Healthineers for collaborations.