Haifa, Israel

Bela Fadida


Average Co-Inventor Count = 9.0

ph-index = 1

Forward Citations = 54(Granted Patents)


Company Filing History:


Years Active: 2021

Loading Chart...
1 patent (USPTO):

Title: Bela Fadida: Innovator in Anatomical Structure Detection

Introduction

Bela Fadida is a notable inventor based in Haifa, Israel. He has made significant contributions to the field of medical technology, particularly in the area of anatomical structure detection and labeling. His innovative work has the potential to enhance clinical practices and improve patient outcomes.

Latest Patents

Bela Fadida holds a patent for an "Optimized Anatomical Structure of Interest Labelling" system. This system is designed for detecting and labeling structures of interest within medical imaging. It includes a current patient study database that contains clinical contextual information, a statistical model patient report database with prior patient documents, and an image metadata processing engine. The system utilizes a natural language processing engine to extract clinical context information and an anatomical structure detection and labeling engine to identify and label relevant structures. This innovative approach aggregates series level data and displays findings effectively.

Career Highlights

Bela Fadida is currently employed at Koninklijke Philips Corporation N.V., a leading company in health technology. His work at Philips focuses on advancing medical imaging technologies and improving diagnostic processes. With a patent portfolio that includes one significant patent, he continues to contribute to the field of healthcare innovation.

Collaborations

Bela has collaborated with talented colleagues such as Kongkuo Lu and Alexandra Groth. These collaborations have fostered a creative environment that encourages the development of cutting-edge technologies in medical imaging.

Conclusion

Bela Fadida is a pioneering inventor whose work in anatomical structure detection is shaping the future of medical technology. His contributions are vital for enhancing diagnostic accuracy and improving patient care.

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