US Patent Issued to Carl Zeiss Meditec on Dec. 16 for "Machine-learning-based determining of refractive power for measures for correcting eyesight from OCT images" (German Inventors)

ALEXANDRIA, Va., Dec. 16 -- United States Patent no. 12,499,536, issued on Dec. 16, was assigned to Carl Zeiss Meditec AG (Jena, Germany).

"Machine-learning-based determining of refractive power for measures for correcting eyesight from OCT images" was invented by Hendrik Burwinkel (Munich), Holger Matz (Unterschneidheim, Germany), Stefan Saur (Aalen, Germany) and Christoph Hauger (Aalen, Germany).

According to the abstract* released by the U.S. Patent & Trademark Office: "The invention relates to a computer-implemented method and a corresponding system for a machine-learning-supported determining of refractive power for a measure for correcting the eyesight of a patient. The method involves providing a scan result of an eye, wherein the ...