US Patent Issued to AINSIGHT on Oct. 6 for "Method for deriving cephalometric parameters for orthodontic diagnosis based on machine learning from three-dimensional (3D) cbct image taken in natural head position" (South Korean Inventor)

ALEXANDRIA, Va., Oct. 6 -- United States Patent no. 12,751,795, issued on Oct. 6, was assigned to AINSIGHT INC. (Hwaseong-si, South Korea).

"Method for deriving cephalometric parameters for orthodontic diagnosis based on machine learning from three-dimensional (3D) cbct image taken in natural head position" was invented by Jang Hoon Ahn (Seoul, South Korea).

According to the abstract* released by the U.S. Patent & Trademark Office: "The present invention relates to a method for deriving cephalometric parameters for orthodontic diagnosis based on machine learning. More specifically, the present invention relates to a method for deriving cephalometric parameters for orthodontic diagnosis based on machine learning, wherein a machine-learning...