Katharine Grant

Title: Katharine Grant: Innovator in Machine Learning-Assisted Computed Tomography

Introduction

Katharine Grant is a prominent inventor based in Rochester, MN (US). She has made significant contributions to the field of medical imaging, particularly through her innovative work in machine learning. With a focus on enhancing computed tomography (CT) workflows, her inventions aim to improve patient outcomes and streamline medical processes.

Latest Patents

Katharine Grant holds a patent for a "Machine learning-assisted computed tomography workflow." This system and method involve the acquisition of a two-dimensional radiograph of a patient. The radiograph is then input into a trained machine learning model to generate a classification. If the classification indicates that the patient does not have a first condition, a computed tomography scan is performed based on the two-dimensional radiograph. Conversely, if the classification indicates that the patient has the first condition, the computed tomography scan is modified accordingly. This innovative approach showcases her commitment to integrating advanced technology into healthcare.

Career Highlights

Katharine Grant is currently employed at Siemens Healthineers AG, where she continues to develop cutting-edge solutions in medical imaging. Her work not only reflects her expertise but also her dedication to improving healthcare technology. With a patent portfolio that includes 1 patent, she stands out as a leader in her field.

Collaborations

Throughout her career, Katharine has collaborated with notable professionals, including Bernhard Schmidt and Thomas Flohr. These partnerships have allowed her to leverage diverse expertise and drive innovation in her projects.

Conclusion

Katharine Grant is a trailblazer in the realm of machine learning and medical imaging. Her contributions are paving the way for advancements that enhance patient care and diagnostic accuracy. Her work exemplifies the impact of innovation in healthcare technology.