Siemens Healthcare Gmbh Patent Portfolio Statistics

Siemens Healthcare Gmbh

Profile Summary

This article summarizes the perfomance of the assignee in the recent years. The overall statistics for this portfolio help to analyze the areas where the assignee is performing well. The filing trend, perfomance across the tech centers and the perfomance of the recent applications has been mentioned below. All the stats are calculated based on the perfomance in USPTO.

How does the overall patent portfolio of Siemens Healthcare Gmbh look like?

Total Applications: 7,078
Granted Patents: 6,253
Grant Index 97.11 %
Abandoned/Rejected Applications: 186 (2.89%)
In-Process Applications: 614
Average Grant Time: 3.04 Years
Average Office Actions: 1.52

Which Technology Area Siemens Healthcare Gmbh is filing most patents in? (Last 10 years)

Art Unit Definition Total Applications
2882 Optics 733
2884 Optics 567
2866 Printing/Measuring and Testing 461
2852 Printing/Measuring and Testing 451
2624 Selective Visual Display Systems 333

How many patents are Siemens Healthcare Gmbh filing every year?

Year Total Applications
2022 0*
2021 185*
2020 359
2019 400
2018 461

*The drop in the number of applications filed in last two years compared to previous years is because applications can take up to 18 months to get published

Recently filed patent applications of Siemens Healthcare Gmbh in USPTO?

Publication number: US20220015842A1
Application number: 17/449,818

A system for holding and controlling medical instruments during procedures includes an end effector configured to hold a medical instrument and a rotational and translational (RT) mechanism configured to rotate and translate the medical instrument along an insertion axis. The system further includes a platform coupled to the RT mechanism and a pair of parallel five-bar planar linkages configured to translate, pitch, and yaw the platform with respect to a principal axis that is parallel to the insertion axis.

Publication date: 2022-01-20
Applicant: Siemens Healthcare Gmbh
Inventors: Ankur Kapoor

Publication number: US20220007940A1
Application number: 17/482,881

A deep machine-learning approach is used for medical image fusion by a medical imaging system. This one approach may be used for different applications. For a given application, the same deep learning is used but with different application-specific training data. The resulting deep-learnt classifier provides a reduced feature vector in response to input of intensities of one image and displacement vectors for patches of the one image relative to another image. The output feature vector is used to determine the deformation for medical image fusion.

Publication date: 2022-01-13
Applicant: Siemens Healthcare Gmbh
Inventors: Li Zhang

Publication number: US20220011390A1
Application number: 17/408,678

A method is proposed for recording diagnostic measurement data of a head of an examination object in head imaging via a magnetic resonance device. The method comprises performing an overview scan of the head of the examination object, wherein overview measurement data is acquired in the overview scan and performing various diagnostic scans of the head of the examination object based on the acquired overview measurement data, wherein diagnostic measurement data is acquired in the various diagnostic scans.

Publication date: 2022-01-13
Applicant: Siemens Healthcare Gmbh
Inventors: Thomas Witzel

How are Siemens Healthcare Gmbh’s applications performing in USPTO?

Application Number Title Status Art Unit Examiner
17/449,818 3D Printed Robot For Holding Medical Instruments During Procedures And Its Control OPAP Central, Docket
17/482,881 Deep-Learnt Tissue Deformation For Medical Imaging OPAP Central, Docket
17/408,678 Method For Recording Diagnostic Measurement Data Of A Head Of An Examination Object In Head Imaging Via A Magnetic Resonance Device OPAP Central, Docket
17/310,474 Preparation Methods And Apparatus Adapted To Filter Small Nucleic Acids From Biological Samples Docketed New Case – Ready for Examination OPAP Central, Docket
17/426,720 Automatic Organ Program Selection Method, Storage Medium, And X-Ray Medical Device Sent to Classification contractor OPAP Central, Docket