This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: University System of Maryland. Active years: 2012.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2012
Title: Eliot Siegel: Innovator in Non-Invasive Medical Imaging
Introduction
Eliot Siegel is a prominent inventor based in Saverna Park, MD (US). He has made significant contributions to the field of medical imaging, particularly in the detection of meniscal tears through non-invasive scans. His innovative techniques have the potential to enhance diagnostic accuracy and improve patient outcomes.
Latest Patents
Eliot Siegel holds a patent for a groundbreaking method titled "Detecting meniscal tears in non-invasive scans." This patent outlines techniques for automatically detecting meniscus issues by receiving pixels from a scanning device directed at a subject's knee. The process involves determining a meniscus extraction threshold based on pixel intensities without human intervention. Furthermore, it includes methods for assessing the propensity for meniscal tears based on scan data and threshold information.
Career Highlights
Eliot Siegel is affiliated with the University System of Maryland, where he continues to advance research in medical imaging technologies. His work has garnered attention for its innovative approach to non-invasive diagnostics, making significant strides in the medical field.
Collaborations
Eliot collaborates with notable colleagues, including Nabile Safdar and Bharath Ramakrishna. Their combined expertise contributes to the development of advanced imaging techniques and enhances the research environment at the University System of Maryland.
Conclusion
Eliot Siegel's contributions to the field of medical imaging through his patented techniques for detecting meniscal tears exemplify the impact of innovation in healthcare. His work not only advances technology but also holds promise for improving patient care in the future.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
