Erlangen, Germany

Nadine Liebs


Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 10(Granted Patents)


Company Filing History:


Years Active: 2018

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Nadine Liebs: Pioneering Medical Data Representation

Introduction

Nadine Liebs is an innovative inventor based in Erlangen, Germany. She has made significant contributions to the field of medical data management and representation through her patent for a method and arrangement designed for computer-assisted evaluation of medical examination data.

Latest Patents

Nadine holds a notable patent titled "Method and arrangement for computer-assisted representation and/or evaluation of medical examination data." This invention reveals a comprehensive method for structuring medical examination data, enabling the registration of patient-specific data and images created from radiological examinations. By integrating these data records with a body model representation, her innovation facilitates interaction through a user interface, making it a valuable tool in clinical settings.

Career Highlights

Currently, Nadine is associated with Siemens Aktiengesellschaft, a leading global technology company. Her role there involves leveraging her expertise in medical technology innovations to enhance healthcare solutions. The impact of her work at Siemens signifies a commitment to improving patient care through advanced data representation techniques.

Collaborations

Throughout her career, Nadine has collaborated with esteemed colleagues, including Thomas Gossler and Martin Huber. These partnerships indicate a team-oriented approach in her work, enhancing the development and application of cutting-edge medical technologies.

Conclusion

Nadine Liebs stands out as an inventor whose contributions are making waves in the healthcare industry. Her patented method for computer-assisted medical data representation exemplifies innovation that bridges the gap between technology and medicine, ultimately contributing to improved patient outcomes.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…