John Jingan Tang

Title: John Jingan Tang: Advancing Medical Imaging with Machine Learning

Introduction

John Jingan Tang is an inventor based in San Jose, California, whose patent work focuses on applying machine learning to medical imaging. He is associated with Stryker Corporation and is identified as a male inventor. His record includes 1 patent.

Latest Patents

Tang’s patent, “Systems and Methods for Automatically Detecting Substances in Medical Imaging,” describes a method for training a machine learning model to identify substances that can reduce the clarity of medical images. The method combines images of tissue associated with a medical procedure type with images of substances that may obscure that tissue. The resulting training data includes tissue that is at least partially obscured, and it is used to train a model to detect those substances in images generated during procedures of the same type.

Career Highlights

Tang’s disclosed invention addresses a practical challenge in medical imaging: substances present during a procedure can interfere with image clarity. By using purpose-built training images, the approach aims to help machine learning systems recognize such substances in procedure-related imaging. Tang is associated with Stryker Corporation, a company working in the medical technology sector.

Collaborations

Cole Kincaid Hunter is identified as Tang’s coworker. The available information does not specify whether Hunter collaborated with Tang on the patent.

Conclusion

John Jingan Tang’s patent presents a machine learning approach for detecting substances that may obscure medical images, reflecting an application of artificial intelligence to a specific challenge in procedural imaging.