Erlangen, Germany

Frank Enders


Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Frank Enders: Innovator in Medical Imaging Technology

Introduction

Frank Enders is a notable inventor based in Erlangen, Germany. He has made significant contributions to the field of medical imaging through his innovative work at Siemens Healthineers AG. With a focus on artificial intelligence, his inventions aim to enhance the capabilities of evaluation algorithms used in medical diagnostics.

Latest Patents

Frank Enders holds a patent for a "Computer-implemented method and system for training an evaluation algorithm, computer program and electronically readable data carrier." This invention describes a method for further training an already trained artificial intelligence evaluation algorithm. The algorithm processes input data, including image data from medical imaging facilities, to produce evaluation results. The method involves using additional training data sets derived from clinical examination processes, allowing for improved accuracy and reliability in medical evaluations.

Career Highlights

Throughout his career, Frank Enders has been dedicated to advancing technology in the healthcare sector. His work at Siemens Healthineers AG has positioned him as a key player in the development of innovative solutions that leverage artificial intelligence for better patient outcomes. His patent reflects his commitment to enhancing the functionality of medical imaging technologies.

Collaborations

Frank Enders has collaborated with talented colleagues, including Dorothea Roth and Michael Schrapp. These partnerships have fostered a creative environment that encourages the development of groundbreaking technologies in the medical field.

Conclusion

Frank Enders is a distinguished inventor whose work in medical imaging and artificial intelligence continues to impact the healthcare industry positively. His innovative patent demonstrates his dedication to improving diagnostic processes and patient care.

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