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Röntgenassistenz vor einem MRT der Firma Siemens Healthineers.

Siemens Healthineers

The intelligent companion for radiologists' work

Siemens Healthineers is one of the world's leading medical technology companies and offers innovative products and services for numerous areas of healthcare. In the area of multimodal imaging, Siemens Healthineers provides an AI-based, cloud-based application for decision support: the AI-Rad Companion.

Sector
Period

Context & starting point


Radiologists and radiooncologists have to analyse an immense number of images every day, which usually leaves little time for due to the growing workload. The AI-Rad Companion helps users review images and identify radiological abnormalities. Using deep learning algorithms, image data sets are automatically post-processed, for example by labeling anatomies and comparing the results with reference values. In this way, users can be supported in routine processes with recurring tasks and high case numbers.

Context & starting point


Radiologists and radiooncologists have to analyse an immense number of images every day, which usually leaves little time for due to the growing workload. The AI-Rad Companion helps users review images and identify radiological abnormalities. Using deep learning algorithms, image data sets are automatically post-processed, for example by labeling anatomies and comparing the results with reference values. In this way, users can be supported in routine processes with recurring tasks and high case numbers.

Context & starting point


Radiologists and radiooncologists have to analyse an immense number of images every day, which usually leaves little time for due to the growing workload. The AI-Rad Companion helps users review images and identify radiological abnormalities. Using deep learning algorithms, image data sets are automatically post-processed, for example by labeling anatomies and comparing the results with reference values. In this way, users can be supported in routine processes with recurring tasks and high case numbers.

Objective

Building trust in AI

The AI-Rad Companion stands for a family of products that include solutions (including extensions or Extensions called) for various modalities and body regions. To ensure a consistent design across all expansions, UseTree was brought on board to develop the four applications Brain MR, Prostate MR, Chest X-ray and Organs RT.

Before the start of the project, mockups and prototypes of the applications were already available, as was the style guide for the overall product family. The task was to ensure FDA-compliant product development across various product teams, which included UX research and testing, UX design and UX consulting in equal measure. In addition, the focus was on transparent and understandable interaction between doctor and innovative technology, which creates trust in an AI-based application and offers identifiable added value.

Objective

Building trust in AI

The AI-Rad Companion stands for a family of products that include solutions (including extensions or Extensions called) for various modalities and body regions. To ensure a consistent design across all expansions, UseTree was brought on board to develop the four applications Brain MR, Prostate MR, Chest X-ray and Organs RT.

Before the start of the project, mockups and prototypes of the applications were already available, as was the style guide for the overall product family. The task was to ensure FDA-compliant product development across various product teams, which included UX research and testing, UX design and UX consulting in equal measure. In addition, the focus was on transparent and understandable interaction between doctor and innovative technology, which creates trust in an AI-based application and offers identifiable added value.

Objective

Building trust in AI

The AI-Rad Companion stands for a family of products that include solutions (including extensions or Extensions called) for various modalities and body regions. To ensure a consistent design across all expansions, UseTree was brought on board to develop the four applications Brain MR, Prostate MR, Chest X-ray and Organs RT.

Before the start of the project, mockups and prototypes of the applications were already available, as was the style guide for the overall product family. The task was to ensure FDA-compliant product development across various product teams, which included UX research and testing, UX design and UX consulting in equal measure. In addition, the focus was on transparent and understandable interaction between doctor and innovative technology, which creates trust in an AI-based application and offers identifiable added value.

Proceed

Combine innovation with regulatory requirements

At the beginning, the focus was on an intensive examination of the context of use. In workshops, interviews, expert reviews and task analyses, the project teams identified user-centered requirements and initial risks as well as usability problems. In four iterations, the design team developed the solutions step by step.

In addition, formative and summative testing was carried out by the research team — always with the aim of minimizing risks until a product for doctors is created in the end. Another part of risk management consisted of testing the user manual. The research team documented each individual step and all changes from the testing in detail in a usability file.

Proceed

Combine innovation with regulatory requirements

At the beginning, the focus was on an intensive examination of the context of use. In workshops, interviews, expert reviews and task analyses, the project teams identified user-centered requirements and initial risks as well as usability problems. In four iterations, the design team developed the solutions step by step.

In addition, formative and summative testing was carried out by the research team — always with the aim of minimizing risks until a product for doctors is created in the end. Another part of risk management consisted of testing the user manual. The research team documented each individual step and all changes from the testing in detail in a usability file.

Proceed

Combine innovation with regulatory requirements

At the beginning, the focus was on an intensive examination of the context of use. In workshops, interviews, expert reviews and task analyses, the project teams identified user-centered requirements and initial risks as well as usability problems. In four iterations, the design team developed the solutions step by step.

In addition, formative and summative testing was carried out by the research team — always with the aim of minimizing risks until a product for doctors is created in the end. Another part of risk management consisted of testing the user manual. The research team documented each individual step and all changes from the testing in detail in a usability file.

Upshot

Intelligent support for doctors

At the end of the project, the AI-Rad Companion welcomes four new product members, which are already available in many countries. The design creates a bridge between a consistently designed product family and the specific requirements of Extensions to hit. At the same time, the transparent and reduced presentation provides just as much information so as not to appear cluttered and yet remain understandable.

In this way, the radiologist quickly and easily receives additional information to support decisions without having to make time-consuming adjustments in advance. The AI-Rad Companion thus seamlessly integrates into the workflow of its users and accompanies radiologists and radiooncologists in their daily work.

Upshot

Intelligent support for doctors

At the end of the project, the AI-Rad Companion welcomes four new product members, which are already available in many countries. The design creates a bridge between a consistently designed product family and the specific requirements of Extensions to hit. At the same time, the transparent and reduced presentation provides just as much information so as not to appear cluttered and yet remain understandable.

In this way, the radiologist quickly and easily receives additional information to support decisions without having to make time-consuming adjustments in advance. The AI-Rad Companion thus seamlessly integrates into the workflow of its users and accompanies radiologists and radiooncologists in their daily work.

Upshot

Intelligent support for doctors

At the end of the project, the AI-Rad Companion welcomes four new product members, which are already available in many countries. The design creates a bridge between a consistently designed product family and the specific requirements of Extensions to hit. At the same time, the transparent and reduced presentation provides just as much information so as not to appear cluttered and yet remain understandable.

In this way, the radiologist quickly and easily receives additional information to support decisions without having to make time-consuming adjustments in advance. The AI-Rad Companion thus seamlessly integrates into the workflow of its users and accompanies radiologists and radiooncologists in their daily work.

Ärztin analysiert MRT mit KI-Unterstützung.
Ärztin analysiert MRT mit KI-Unterstützung.
Ärztin analysiert MRT mit KI-Unterstützung.
Ärztin analysiert MRT mit KI-Unterstützung.
Ärztin analysiert MRT mit KI-Unterstützung.
Ärztin analysiert MRT mit KI-Unterstützung.
Ärztin analysiert MRT mit KI-Unterstützung.
Ärztin analysiert MRT mit KI-Unterstützung.
Ärztin analysiert MRT mit KI-Unterstützung.
Bildschirm mit Ansicht eines grünen seitlichen Kopf-MRTs in AI-Rad Companion Software.
Bildschirm mit Ansicht eines grünen seitlichen Kopf-MRTs in AI-Rad Companion Software.
Bildschirm mit Ansicht eines grünen seitlichen Kopf-MRTs in AI-Rad Companion Software.
Bildschirm mit Ansicht eines grünen seitlichen Kopf-MRTs in AI-Rad Companion Software.
Bildschirm mit Ansicht eines grünen seitlichen Kopf-MRTs in AI-Rad Companion Software.
Bildschirm mit Ansicht eines grünen seitlichen Kopf-MRTs in AI-Rad Companion Software.
Bildschirm mit Ansicht eines grünen seitlichen Kopf-MRTs in AI-Rad Companion Software.
Bildschirm mit Ansicht eines grünen seitlichen Kopf-MRTs in AI-Rad Companion Software.
Bildschirm mit Ansicht eines blauen seitlichen Kopf-MRTs in AI-Rad Companion Software.
Bildschirm mit Ansicht eines blauen seitlichen Kopf-MRTs in AI-Rad Companion Software.
Bildschirm mit Ansicht eines blauen seitlichen Kopf-MRTs in AI-Rad Companion Software.
Bildschirm mit Ansicht eines blauen seitlichen Kopf-MRTs in AI-Rad Companion Software.
Bildschirm mit Ansicht eines blauen seitlichen Kopf-MRTs in AI-Rad Companion Software.
Bildschirm mit Ansicht eines blauen seitlichen Kopf-MRTs in AI-Rad Companion Software.
Bildschirm mit Ansicht eines blauen seitlichen Kopf-MRTs in AI-Rad Companion Software.
Bildschirm mit Ansicht eines blauen seitlichen Kopf-MRTs in AI-Rad Companion Software.
Bildschirm mit Ansicht eines Kopf-MRTs von oben in AI-Rad Companion Software.
Bildschirm mit Ansicht eines Kopf-MRTs von oben in AI-Rad Companion Software.
Bildschirm mit Ansicht eines Kopf-MRTs von oben in AI-Rad Companion Software.
Bildschirm mit Ansicht eines Kopf-MRTs von oben in AI-Rad Companion Software.
Bildschirm mit Ansicht eines Kopf-MRTs von oben in AI-Rad Companion Software.
Bildschirm mit Ansicht eines Kopf-MRTs von oben in AI-Rad Companion Software.
Bildschirm mit Ansicht eines Kopf-MRTs von oben in AI-Rad Companion Software.
Bildschirm mit Ansicht eines Kopf-MRTs von oben in AI-Rad Companion Software.
MRT Bild eines Kopfes von oben.
MRT Bild eines Kopfes von oben.
Gelbe Post-Its an der Wand aus dem Designprozess.
MRT Bild eines Kopfes von oben.
Gelbe Post-Its an der Wand aus dem Designprozess.
MRT Bild eines Kopfes von oben.
Gelbe Post-Its an der Wand aus dem Designprozess.
MRT Bild eines Kopfes von oben.
Gelbe Post-Its an der Wand aus dem Designprozess.
MRT Bild eines Kopfes von oben.
Gelbe Post-Its an der Wand aus dem Designprozess.
MRT Bild eines Kopfes von oben.
Gelbe Post-Its an der Wand aus dem Designprozess.
MRT Bild eines Kopfes von oben.
Gelbe Post-Its an der Wand aus dem Designprozess.

“Especially when developing medical devices, where every adjustment entails additional regulatory costs, early and consistent integration of UX into all phases is essential. With UseTree, we addressed this challenge right from the start of our product development. As a result, we have created a product with a high level of user acceptance and also saved time and therefore unnecessary costs. ”

Philip Mewes, Global Head of R&D AI Rad Companion

“Especially when developing medical devices, where every adjustment entails additional regulatory costs, early and consistent integration of UX into all phases is essential. With UseTree, we addressed this challenge right from the start of our product development. As a result, we have created a product with a high level of user acceptance and also saved time and therefore unnecessary costs. ”

Philip Mewes, Global Head of R&D AI Rad Companion

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Image sources

  1. Copyright Siemens Healthineers
  2. Copyright FAU Erlangen
  3. UseTree, workshop
  4. Copyright Siemens Healthineers
  5. Copyright Siemens Healthineers & Copyright LMU, University Hospital Munich/University Hospital Munich, X-ray image (Xray)

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