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For the Inventor, By the Inventor

Cambridge, MA, United States of America

Yiting Xie

USPTO Granted Patents = 12 

Average Co-Inventor Count = 4.0

ph-index = 2

Forward Citations = 11(Granted Patents)


Company Filing History:

goldMedal10 out of 164,108 
 
International Business Machines Corporation
 patents
silverMedal1 out of 832,680 
Other
 patents
where one patent can have more than one assignee

Years Active: 2020-2024

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12 patents (USPTO):
1. 11963790 - Estimating spinal age (2024-04-23),
2. 11727559 - Pneumothorax detection (2023-08-15),
3. 11424037 - Disease simulation in medical images (2022-08-23),
4. 11315242 - Automated fracture detection using machine learning models (2022-04-26),
5. 11302044 - Method of determining contrast phase of a computerized tomography image (2022-04-12),
6. 11263481 - Automated contrast phase based medical image selection/exclusion (2022-03-01),
7. 11253213 - Vascular dissection detection and visualization using a superimposed image (2022-02-22),
8. 11024029 - Vascular dissection detection and visualization using a superimposed image with an improved illustration of an outermost vessel periphery (2021-06-01),
9. 11020076 - Vascular dissection detection and visualization using a density profile (2021-06-01),
10. 10916027 - Determining centerlines in elongated structures in images to detect abnormalities (2021-02-09),
11. 10892056 - Artificial intelligence based alert system (2021-01-12),
12. 10861178 - Developing a training set for a deep learning system configured to determine a centerline in a three dimensional image (2020-12-08),

Title: Yiting Xie: Innovator in Medical Imaging and Artificial Intelligence

Introduction

Yiting Xie is a prominent inventor based in Cambridge, MA, known for his significant contributions to the fields of medical imaging and artificial intelligence. With a total of 12 patents to his name, he has developed innovative solutions that enhance diagnostic capabilities in healthcare.

Latest Patents

Among his latest patents, one notable invention is the method for estimating spinal age. This approach involves a computer program that receives image data of a subject's spine along with their chronological age. The program preprocesses the image data and utilizes a trained artificial intelligence deep learning algorithm to determine the apparent age of the spine. Another significant patent focuses on pneumothorax detection. This computer-implemented method assesses digital images of chest X-rays to determine the likelihood of pneumothorax in patients. It employs a standard detection pipeline, a confounding factor detector, and a high-resolution detection pipeline to analyze the digital images effectively.

Career Highlights

Yiting Xie has worked with notable organizations, including International Business Machines Corporation (IBM), where he has contributed to various projects that leverage technology for healthcare advancements. His work has been instrumental in bridging the gap between artificial intelligence and medical diagnostics.

Collaborations

Throughout his career, Yiting has collaborated with talented individuals such as Arkadiusz Sitek and Benedikt Werner Graf. These collaborations have fostered innovation and have led to the development of groundbreaking technologies in the medical field.

Conclusion

Yiting Xie's work exemplifies the intersection of technology and healthcare, showcasing how innovations in artificial intelligence can lead to improved diagnostic methods. His contributions continue to impact the medical community positively, paving the way for future advancements.

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