AI-Rad Companion Chest CT - Lung Lesion Follow-Up | Onboarding Practices Video (Part 1)

Welcome. I'm Richard account from Siemens Healthineers education team and I would like to guide you through the lung lesion follow up feature on a red companion test city. What needs to be done to work with a right companion? Chest? City? Lung? Lesion? Follow up on your institution. This video on AI ride, companion, chest CT, lung lesion follow-up will cover the following key points. Long term storage configuration settings. Lung lesion follow U automated workflow. Manual. Upload of prior data. Bulk upload of prior data. And additional information. AI, Red companion, chest, CT, lung lesion follow up long term storage L and its configuration settings. A new software version of AI Red Companion Chest CT. Will be. Rolled out and available for your institution. If you want to work with the long term storage and compare two time points for lung lesions, you have to activate the long term storage in the configuration settings as it is off by default. Double check the settings for lung lesions as the parameters Max number of lesions and ignore. Lesions with diameters less than will potentially affect the lesion correspondence tracking. Lesions filtered due to user configuration at time of previous analysis are not part of the correlation and growth estimation in the followup analysis. Make sure to set maximum number of lesions to a high number, for example 99, and ignore lesions with diameters less than 1 millimeter. Lung lesion follow up, automated workflow? A patient will have his or her first CT lung examination, followed by the automated processing of a IRAD companion chest CT. The AI ride companion, chest CT, lung lesions. Results are saved in the lights on a IRAD companion. For current examinations, relevant data is stored in LA upon completion of the case. All configured aired companion Chest CT results will be sent to packs. The same patient comes for a follow up examination after a certain period of time, for example three to six months but with an interval of at least 10 days and has a follow up lung CT examination. Again a IRAD companion automatically. Calculates the. AI Rad companion chest CT results and pulls the. Previous results for this. Patient from the LTT? All configured AI red companion chest CT results will be sent to packs for the follow up examination. Manual upload. Of prior data. A patient has already received his or her first CT examination and all configured ahrid companion chest CT results are safe to packs, but no data lung lesions could be saved to the Ltd at that time point. As this patient is coming for a follow up examination after the activation of the LTTS for lung lesion results on a IRAD companion. It is possible to manually upload the previous examination to AI right companion to process and store the results in the LTC? If completed before the current examination, then the follow up will be performed automatically. Aired companion Chest CT pulls the previous results for this patient from the. LTT. All configured AI red companion chest CT results will be sent to packs for the follow up examination. Bulk upload of prior data. After activation of the LTTS. A list of previously collected data can be sent from ACS. For selected. Patients. Long term storage will be initialized for respective follow up cases in the future. Additional information. Previous data is automatically deleted in long term storage according to the retention. Which is configured in your settings.

1. 2. 3. 4. 5. 99 Shaping the future of healthcare SIEMENS Al-Rad Companion Chest CT Lung Lesion Follow-Up Ricarda Grund Siemens Healthineers Education Al-Rad Companion Chest CT Onboarding practices Healthineers SHS CS EDU EMEA DH&SY APT-DH Al-Rad Companion Chest CT - Lung Lesion Follow-Up 1. Long-Term Storage (LTS) - Configuration Settings To use the Long-Term Storage (LTS) analysis previous configurations are necessary. Lung Lesion Follow-Up Automated Workflow The standard LTS workflow is explained by the automated processing. Manual Upload of Prior Data The LTS analysis is also possible for prior data by manually uploading. Bulk Upload of Prior Data Prior data can be uploaded as a bulk to apply the LTS processing. Additional Information Useful information about LTS is explained. Chest CT VA20 Long Term Storage / Lung Lesion Follow-Up Enable Follow-Up Settings Maximum number of lesions Ignore lesions with diameter less than [mm] 2. Lung Lesion Follow-Up Automated Workflow LTS of PACS e.g. 3-6 n e.g. 3-6 months (=10 days) 3. Manual Upload of Prior Data 5. Additional Information Please note that the learning material is for training purposes only. For the proper use of the software or hardware, please always use the Operator Manual or Instructions for Use (hereinafter collectively "Operator Manual") issued by Siemens Healthineers. This material is to be used as training material only and shall by no means substitute the Operator Manual. Any material used in this training will not be updated on a regular basis and does not necessarily reflect the latest version of the software and hardware available at the time of the training. The Operator Manual shall be used as your main reference, in particular for relevant safety information like warnings and cautions. Please note: Some functions shown in this material are optional and might not be part of your system. Certain products, product related claims or functionalities (hereinafter collectively "Functionality") may not (yet) be commercially available in your country. Due to regulatory requirements, the future availability of said Functionalities in any specific country is not guaranteed. Please contact your local Siemens Healthineers sales representative for the most current information. The reproduction, transmission or distribution of this training or its contents is not permitted without express written authority. Offenders will be liable for damages. All names and data of patients, parameters and configuration dependent designations are fictional and examples only. All rights, including rights created by patent grant or registration of a utility model or design, are reserved. Siemens Healthcare GmbH 2022