This inventor holds 3 USPTO granted patents and 2 published patent applications. Top assignees: Mackay Memorial Hospital, Chung Yuan Christian University, National Yang Ming Chiao Tung University. Active years: 2017-2026.
Company Filing History:
Years Active: 2017-2026
Title: Innovations by Chung-Lieh Hung
Introduction
Chung-Lieh Hung is a notable inventor based in Taipei, Taiwan. He has made significant contributions to the field of medical technology, particularly in the area of heart failure diagnosis and treatment. With a total of 3 patents, his work showcases the integration of artificial intelligence in healthcare.
Latest Patents
One of his latest patents is a method for identifying and treating heart failure with preserved ejection fraction (HFpEF). This innovative approach utilizes an AI-assisted screening method capable of automatically extracting prominent intrabeat dynamic patterns from apical 4-chamber view images. The method involves segmenting images, extracting features to produce linear waveforms, and training these waveforms with patient diagnoses to establish a reliable model. Additionally, he has developed a system and method for mapping medical images of a single heart chamber. This system allows for the selection of a specific heart chamber in a 3D-based cardiac image, enabling detailed analysis through a 2D mapping visual display.
Career Highlights
Chung-Lieh Hung has worked with reputable institutions such as Mackay Memorial Hospital and National Yang Ming Chiao Tung University. His experience in these organizations has contributed to his expertise in medical imaging and AI applications in healthcare.
Collaborations
He has collaborated with notable colleagues, including Chun-Ho Yun and Yu-An Chiou, further enhancing the impact of his innovations in the medical field.
Conclusion
Chung-Lieh Hung's contributions to medical technology through his patents reflect his commitment to improving healthcare outcomes. His innovative methods for diagnosing and treating heart conditions demonstrate the potential of AI in medicine.