Detailed information about the 100 most recent patent applications.
| Application Number | Title | Filing Date | Disposal Date | Disposition | Time (months) | Office Actions | Restrictions | Interview | Appeal |
|---|---|---|---|---|---|---|---|---|---|
| 17251420 | MEDICAL IMAGE RECONSTRUCTION CLOUD SCHEDULER | December 2020 | June 2024 | Abandon | 42 | 2 | 0 | No | No |
| 17251354 | Second Reader | December 2020 | December 2021 | Allow | 12 | 1 | 0 | No | No |
| 16953377 | INTERPRETATION OF WHOLE-SLIDE IMAGES IN DIGITAL PATHOLOGY | November 2020 | April 2023 | Allow | 29 | 1 | 0 | No | No |
| 17057127 | SCATTER CORRECTION FOR X-RAY IMAGING | November 2020 | February 2023 | Allow | 27 | 0 | 0 | No | No |
| 17015461 | MEDICAL CARE SUPPORT DEVICE, MEDICAL CARE SUPPORT METHOD, AND MEDICAL CARE SUPPORT PROGRAM | September 2020 | June 2023 | Allow | 33 | 1 | 0 | Yes | No |
| 17006931 | SIMULATED FOLLOW-UP IMAGING | August 2020 | January 2024 | Abandon | 40 | 2 | 0 | Yes | No |
| 16976781 | METHOD AND SYSTEM FOR IMPROVED MOTION ROBUSTNESS DURING LOCATION MEASUREMENT | August 2020 | May 2024 | Allow | 45 | 2 | 0 | No | No |
| 16994885 | SYSTEM, METHOD, AND COMPUTER-ACCESSIBLE MEDIUM FOR PROCESSING BRAIN IMAGES AND EXTRACTING NEURONAL STRUCTURES | August 2020 | April 2023 | Allow | 32 | 1 | 0 | No | No |
| 16935171 | INTERLOBAR MEMBRANE DISPLAY APPARATUS, METHOD, AND PROGRAM | July 2020 | August 2022 | Allow | 25 | 2 | 0 | No | No |
| 16934103 | METHOD AND APPARATUS FOR PREDICTING PULMONARY DISEASE USING FRACTAL DIMENSION VALUE | July 2020 | March 2023 | Allow | 32 | 1 | 0 | No | No |
| 16927183 | Apparatus and Methods for Non-Reciprocal Broken Ray Tomography | July 2020 | April 2023 | Allow | 33 | 1 | 0 | No | No |
| 16922598 | SYSTEM AND METHOD OF DETERMINING AN ACCURATE ENHANCED LUND AND BROWDER CHART AND TOTAL BODY SURFACE AREA BURN SCORE | July 2020 | November 2023 | Allow | 40 | 1 | 1 | Yes | No |
| 16911582 | ACNE INTELLIGENCE DIAGNOSTIC AND PRODUCT RECOMMENDATION MOBILE APP | June 2020 | December 2022 | Abandon | 30 | 1 | 0 | No | No |
| 16904928 | SURFACE IMAGING USING HIGH INCIDENT ANGLE OF LIGHT RAYS | June 2020 | January 2023 | Allow | 31 | 2 | 0 | Yes | No |
| 16772603 | DIAGNOSTIC MODELLING METHOD AND APPARATUS | June 2020 | October 2023 | Allow | 40 | 3 | 0 | No | No |
| 16897768 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND X-RAY CT APPARATUS | June 2020 | February 2023 | Allow | 32 | 3 | 0 | No | No |
| 16891103 | X-RAY IMAGE QUALITY CONTROL SYSTEM | June 2020 | November 2022 | Abandon | 30 | 2 | 0 | No | No |
| 16887708 | MEDICAL IMAGE PROCESSING APPARATUS AND MEDICAL IMAGE PROCESSING METHOD | May 2020 | July 2023 | Allow | 37 | 4 | 0 | No | No |
| 16880960 | DIAGNOSTIC SUPPORT SERVER DEVICE, TERMINAL DEVICE, DIAGNOSTIC SUPPORT SYSTEM, DIAGNOSTIC SUPPORT PROCESS,DIAGNOSTIC SUPPORT DEVICE, AND DIAGNOSTIC SUPPORT PROGRAM | May 2020 | February 2023 | Allow | 33 | 2 | 0 | No | No |
| 16865847 | IMAGING METHOD AND DEVICE | May 2020 | May 2022 | Allow | 25 | 1 | 0 | Yes | No |
| 16858803 | SYSTEMS AND METHODS FOR IMAGE RECONSTRUCTION IN POSITRON EMISSION TOMOGRAPHY | April 2020 | October 2022 | Allow | 30 | 2 | 0 | No | No |
| 16842723 | SYSTEMS AND METHODS FOR IMAGE STORAGE | April 2020 | November 2022 | Allow | 31 | 2 | 0 | Yes | No |
| 16839444 | PROBE AND SYSTEM FOR IMAGING DENTAL STRUCTURE COMPRISING THE SAME | April 2020 | January 2023 | Allow | 33 | 2 | 0 | No | No |
| 16652668 | BONE MARROW CELL LABELING METHODS AND SYSTEMS | March 2020 | August 2022 | Abandon | 28 | 2 | 0 | No | No |
| 16826786 | METHODS AND SYSTEMS FOR SHEAR WAVE ELASTOGRAPHY | March 2020 | March 2023 | Allow | 36 | 3 | 0 | No | No |
| 16649432 | CT LUNG ELASTOGRAPHY WITH A VENTILATION ASSIST SYSTEM | March 2020 | February 2023 | Abandon | 35 | 2 | 0 | No | No |
| 16813709 | ENDOSCOPIC IMAGE PROCESSING DEVICE, ENDOSCOPIC IMAGE PROCESSING METHOD, ENDOSCOPIC IMAGE PROCESSING PROGRAM, AND ENDOSCOPE SYSTEM | March 2020 | November 2022 | Allow | 32 | 2 | 0 | Yes | No |
| 16808300 | RESOLUTION TEST CHART AND ARTIFICIAL EYE FOR ASSESSING FUNDUS IMAGING SYSTEMS | March 2020 | January 2023 | Allow | 34 | 2 | 0 | Yes | No |
| 16635949 | TERMINAL USE PATTERN INFORMATION COLLECTION MANAGEMENT METHOD AND SYSTEM | January 2020 | November 2022 | Allow | 33 | 1 | 0 | No | No |
| 16633661 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND PROGRAM | January 2020 | January 2022 | Allow | 24 | 1 | 0 | No | No |
| 16731090 | SYSTEMS AND METHODS FOR IMAGE PROCESSING | December 2019 | July 2022 | Allow | 31 | 2 | 0 | No | No |
| 16627476 | IMAGE ANALYSIS DEVICE | December 2019 | October 2021 | Allow | 22 | 1 | 0 | No | No |
| 16626567 | HEAD-IMAGE EVALUATION APPARATUS AND HEAD-IMAGE EVALUATION METHOD | December 2019 | July 2022 | Allow | 30 | 1 | 0 | No | No |
| 16724375 | CELL OBSERVATION SYSTEM | December 2019 | June 2022 | Allow | 30 | 1 | 0 | Yes | No |
| 16722302 | METHOD AND APPARATUS FOR DETERMINING TEXT COLOR | December 2019 | June 2022 | Allow | 30 | 2 | 0 | No | No |
| 16720595 | IMAGE PROCESSING DEVICE, RECORDING MEDIUM, AND IMAGE PROCESSING METHOD | December 2019 | July 2022 | Abandon | 31 | 2 | 0 | No | No |
| 16715033 | IMAGE-PROCESSING OF IMAGE DATASETS OF PATIENTS | December 2019 | November 2022 | Allow | 35 | 3 | 0 | No | No |
| 16621306 | FULLY AUTOMATIC, TEMPLATE-FREE PARTICLE PICKING FOR ELECTRON MICROSCOPY | December 2019 | September 2022 | Allow | 33 | 4 | 0 | No | No |
| 16709358 | METHOD FOR SKIN EXAMINATION BASED ON RBX COLOR-SPACE TRANSFORMATION | December 2019 | June 2021 | Allow | 19 | 0 | 0 | No | No |
| 16698174 | SYSTEM AND METHOD TO AUTOMATICALLY COUNT COMPONENTS EMBEDDED OR COUPLED WITH ASSEMBLY AND STORAGE EQUIPMENT | November 2019 | May 2022 | Allow | 30 | 1 | 0 | Yes | No |
| 16695463 | IMAGE RECOGNITION | November 2019 | November 2021 | Allow | 24 | 1 | 0 | No | No |
| 16697025 | MEASURING INTRAMUSCULAR FAT | November 2019 | December 2022 | Allow | 36 | 4 | 0 | No | No |
| 16693250 | 3D Refinement Module for Combining 3D Feature Maps | November 2019 | January 2022 | Abandon | 25 | 1 | 0 | No | No |
| 16690654 | DYNAMIC IMAGE ANALYSIS APPARATUS AND DYNAMIC IMAGE ANALYSIS SYSTEM | November 2019 | April 2022 | Abandon | 29 | 2 | 0 | No | No |
| 16615311 | IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND PATHOLOGICAL DIAGNOSIS ASSISTANCE SYSTEM USING SAME | November 2019 | October 2021 | Allow | 23 | 2 | 0 | No | No |
| 16686560 | SYSTEMS AND METHODS FOR IMAGE FUSION | November 2019 | December 2022 | Allow | 37 | 4 | 0 | No | No |
| 16683358 | SYSTEM AND METHOD FOR AUTOMATIC RECOGNITION FOR HAND ACTIVITY DEFINED IN UNIFIED PARKINSON DISEASE RATING SCALE | November 2019 | July 2022 | Allow | 32 | 3 | 0 | Yes | No |
| 16665711 | METHOD AND APPARATUS FOR RECONSTRUCTING MEDICAL IMAGES | October 2019 | October 2021 | Abandon | 23 | 1 | 0 | No | No |
| 16606790 | MEDICAL IMAGE DETECTION | October 2019 | January 2022 | Abandon | 27 | 2 | 0 | No | No |
| 16600693 | MEDICAL IMAGE DIAGNOSTIC APPARATUS, MEDICAL IMAGING APPARATUS AND MEDICAL IMAGING METHOD | October 2019 | August 2022 | Allow | 34 | 3 | 0 | No | No |
| 16591011 | SYSTEMS AND METHODS OF MONITORING MEDICAL IMPLANTS | October 2019 | March 2023 | Allow | 41 | 2 | 0 | No | No |
| 16575092 | METHODS AND SYSTEMS FOR PROJECTION PROFILE ENABLED COMPUTER AIDED DETECTION (CAD) | September 2019 | August 2022 | Allow | 34 | 1 | 0 | No | No |
| 16491700 | MACHINE LEARNING FOR DIGITAL PATHOLOGY | September 2019 | July 2023 | Allow | 46 | 4 | 0 | No | No |
| 16489955 | MACHINE LEARNING SYSTEMS AND TECHNIQUES FOR MULTISPECTRAL AMPUTATION SITE ANALYSIS | August 2019 | February 2023 | Abandon | 42 | 1 | 0 | No | No |
| 16481921 | METHOD AND DEVICE FOR DETERMINING THE HOMOGENEITY OF SKIN COLOR | July 2019 | September 2022 | Allow | 38 | 2 | 0 | No | No |
| 16515014 | LOW-OVERHEAD MOTION CLASSIFICATION | July 2019 | October 2021 | Allow | 27 | 2 | 0 | Yes | No |
| 16415295 | SYSTEM AND METHOD FOR OPTICAL DETECTION OF SKIN DISEASE | May 2019 | March 2023 | Abandon | 46 | 1 | 0 | No | No |
| 16367283 | METHOD AND SYSTEM FOR RECONSTRUCTING TRACHEA MODEL USING ULTRASONIC AND DEEP-LEARNING TECHNIQUES | March 2019 | May 2022 | Abandon | 37 | 1 | 0 | No | No |
| 16367659 | CONTROLLER AND MACHINE LEARNING DEVICE | March 2019 | February 2022 | Abandon | 34 | 1 | 0 | No | No |
| 15593157 | MACHINE LEARNING BASED SCATTER CORRECTION | May 2017 | January 2022 | Abandon | 56 | 2 | 0 | No | No |
No appeal data available for this record. This may indicate that no appeals have been filed or decided for applications in this dataset.
Examiner GEBRESLASSIE, WINTA works in Art Unit 2668 and has examined 60 patent applications in our dataset. With an allowance rate of 73.3%, this examiner has a below-average tendency to allow applications. Applications typically reach final disposition in approximately 32 months.
Examiner GEBRESLASSIE, WINTA's allowance rate of 73.3% places them in the 39% percentile among all USPTO examiners. This examiner has a below-average tendency to allow applications.
On average, applications examined by GEBRESLASSIE, WINTA receive 1.82 office actions before reaching final disposition. This places the examiner in the 38% percentile for office actions issued. This examiner issues fewer office actions than average, which may indicate efficient prosecution or a more lenient examination style.
The median time to disposition (half-life) for applications examined by GEBRESLASSIE, WINTA is 32 months. This places the examiner in the 51% percentile for prosecution speed. Prosecution timelines are slightly faster than average with this examiner.
Conducting an examiner interview provides a +22.9% benefit to allowance rate for applications examined by GEBRESLASSIE, WINTA. This interview benefit is in the 67% percentile among all examiners. Recommendation: Interviews provide an above-average benefit with this examiner and are worth considering.
When applicants file an RCE with this examiner, 42.9% of applications are subsequently allowed. This success rate is in the 94% percentile among all examiners. Strategic Insight: RCEs are highly effective with this examiner compared to others. If you receive a final rejection, filing an RCE with substantive amendments or arguments has a strong likelihood of success.
This examiner enters after-final amendments leading to allowance in 28.6% of cases where such amendments are filed. This entry rate is in the 42% percentile among all examiners. Strategic Recommendation: This examiner shows below-average receptiveness to after-final amendments. You may need to file an RCE or appeal rather than relying on after-final amendment entry.
When applicants file petitions regarding this examiner's actions, 100.0% are granted (fully or in part). This grant rate is in the 91% percentile among all examiners. Strategic Note: Petitions are frequently granted regarding this examiner's actions compared to other examiners. Per MPEP § 1002.02(c), various examiner actions are petitionable to the Technology Center Director, including prematureness of final rejection, refusal to enter amendments, and requirement for information. If you believe an examiner action is improper, consider filing a petition.
Examiner's Amendments: This examiner makes examiner's amendments in 0.0% of allowed cases (in the 22% percentile). This examiner rarely makes examiner's amendments compared to other examiners. You should expect to make all necessary claim amendments yourself through formal amendment practice.
Quayle Actions: This examiner issues Ex Parte Quayle actions in 0.0% of allowed cases (in the 29% percentile). This examiner issues Quayle actions less often than average. Allowances may come directly without a separate action for formal matters.
Based on the statistical analysis of this examiner's prosecution patterns, here are tailored strategic recommendations:
Not Legal Advice: The information provided in this report is for informational purposes only and does not constitute legal advice. You should consult with a qualified patent attorney or agent for advice specific to your situation.
No Guarantees: We do not provide any guarantees as to the accuracy, completeness, or timeliness of the statistics presented above. Patent prosecution statistics are derived from publicly available USPTO data and are subject to data quality limitations, processing errors, and changes in USPTO practices over time.
Limitation of Liability: Under no circumstances will IronCrow AI be liable for any outcome, decision, or action resulting from your reliance on the statistics, analysis, or recommendations presented in this report. Past prosecution patterns do not guarantee future results.
Use at Your Own Risk: While we strive to provide accurate and useful prosecution statistics, you should independently verify any information that is material to your prosecution strategy and use your professional judgment in all patent prosecution matters.