Chen Yu Jin

Title: Innovations by Chen Yu Jin in Difficult Airway Evaluation

Introduction

Chen Yu Jin is an accomplished inventor based in Shanghai, China. He has made significant contributions to the field of medical technology, particularly in the evaluation of difficult airways. His innovative approach utilizes machine learning voice technology to enhance patient assessment.

Latest Patents

Chen Yu Jin holds a patent for a "Difficult airway evaluation method and device based on machine learning voice technology." This patent describes a method that involves acquiring voice data from a patient, performing feature extraction on the voice data, and constructing a difficult airway evaluation classifier. The classifier analyzes voiced and unvoiced sound features to score the severity of a difficult airway, ultimately providing an evaluation result.

Career Highlights

Chen Yu Jin is affiliated with Shanghai Jiaotong University, where he contributes to research and development in medical technologies. His work focuses on integrating advanced technologies into healthcare solutions, improving patient outcomes through innovative methods.

Collaborations

Chen collaborates with notable colleagues, including Hong Jiang and Ming Xia, who share his commitment to advancing medical technology. Their combined expertise fosters a collaborative environment that encourages innovation and research.

Conclusion

Chen Yu Jin's work in developing a difficult airway evaluation method showcases the potential of machine learning in healthcare. His contributions are paving the way for more effective patient assessments and improved medical practices.