VP Planning vs PixDx

Visible Patient Lab is specialized in 3D models creation representing human body anatomy. These accurate models are created from medical images (CT-Scan or MRI) and thus represent real clinical cases. VP Planning iOS allows to manipulate these models to identify anatomical structures quickly and precisely. Thanks to this app, healthcare professionals can simulate surgical acts and discuss them with other physicians, inform their patients but also educate their students. A free database of models is also available for demonstration purposes. Functionalities • 3D modeling visualization • Virtual resection simulation by clip applying • Medical report visualization • Visible Patient Lab data reader Approvals Visible Patient Planning iOS is a medical device software which is CE marked. It can therefore be used in clinical routine and/or for patient care in member states of the European Union where national regulations are respected (complete list of countries available here: https://download.visiblepatient.com/go/vppi/2.3.11/certification). Use of this software is not allowed in countries not mentioned in the list above. In these countries, the software is considered as a prototype software and thus its use is restricted to communication with the patient, demonstration, research, or educational purposes. Any other use is strictly prohibited, particularly clinical use for diagnostic interpretation or treatment planning on human beings. User documentation Instructions for use for VP Planning iOS are supplied in electronic form instead of paper form. These instructions can be downloaded in different languages in PDF format at this address: https://download.visiblepatient.com/go/vppi/2.3.11/documentation Hard copy of instructions for use can be requested at contact@visiblepatient.com at no additional cost and provided within 7 calendar days. To read the instructions for use, you need to use the PDF reader installed on your device.

PixDx, an extension of Camera Pi, allows users to manually input links to the EPS Pi system, in addition to capturing and storing photos in the hospital's EPS Pi system.