Detailed information about the 100 most recent patent applications.
| Application Number | Title | Filing Date | Disposal Date | Disposition | Time (months) | Office Actions | Restrictions | Interview | Appeal |
|---|---|---|---|---|---|---|---|---|---|
| 17120983 | METHODS AND SYSTEMS TO DETECT AND CLASSIFY RETINAL STRUCTURES IN INTERFEROMETRIC IMAGING DATA | December 2020 | February 2023 | Allow | 26 | 2 | 0 | No | No |
| 17104572 | VEHICLE ENVIRONMENT MODELING WITH A CAMERA | November 2020 | June 2023 | Allow | 31 | 1 | 0 | Yes | No |
| 17058850 | HEAD-COUNTER DEVICE AND METHOD FOR PROCESSING DIGITAL IMAGES | November 2020 | January 2023 | Allow | 26 | 2 | 0 | Yes | No |
| 17056202 | DOCUMENT IMAGE ANALYSIS APPARATUS, DOCUMENT IMAGE ANALYSIS METHOD AND PROGRAM THEREOF | November 2020 | October 2023 | Allow | 35 | 3 | 0 | Yes | No |
| 17095057 | COMPUTER-IMPLEMENTED METHOD FOR EVALUATING A CT DATA SET REGARDING PERIVASCULAR TISSUE, EVALUATION DEVICE, COMPUTER PROGRAM AND ELECTRONICALLY READABLE STORAGE MEDIUM | November 2020 | May 2023 | Allow | 30 | 1 | 0 | No | No |
| 17093880 | RESOLVING AUTOMATED ASSISTANT REQUESTS THAT ARE BASED ON IMAGE(S) AND/OR OTHER SENSOR DATA | November 2020 | March 2023 | Allow | 28 | 1 | 0 | No | No |
| 16949685 | IMAGE ANALYSIS SYSTEM FOR IDENTIFYING LUNG FEATURES | November 2020 | February 2022 | Allow | 15 | 0 | 0 | No | No |
| 17088909 | AUTOMATED 2D/3D INTEGRATION AND LIP SPLINE AUTOPLACEMENT | November 2020 | March 2023 | Allow | 28 | 2 | 0 | Yes | No |
| 17052321 | METHOD FOR DETERMINING ANNULUS SIZE OF BICUSPID VALVE | November 2020 | July 2022 | Allow | 21 | 1 | 0 | No | No |
| 17084870 | DATA PROCESSING APPARATUS, DATA PROCESSING METHOD, AND NON-TRANSITORY STORAGE MEDIUM | October 2020 | July 2023 | Allow | 33 | 2 | 0 | No | No |
| 17076641 | SYSTEMS AND METHODS FOR GENERATING BULLSEYE PLOTS | October 2020 | August 2022 | Allow | 22 | 1 | 0 | No | No |
| 17075126 | COLLATION/RETRIEVAL SYSTEM, COLLATION/RETRIEVAL SERVER, IMAGE FEATURE EXTRACTION APPARATUS, COLLATION/RETRIEVAL METHOD, AND PROGRAM | October 2020 | January 2024 | Allow | 39 | 1 | 0 | No | No |
| 17073989 | SEGMENTATION OF THE CARDIAC REGION IN CT IMAGES | October 2020 | March 2022 | Allow | 17 | 0 | 0 | No | No |
| 17074317 | METHODS AND APPARATUS TO COUNT PEOPLE IN IMAGES | October 2020 | July 2022 | Allow | 21 | 1 | 0 | No | No |
| 17071491 | Digital Platform to Identify Health Conditions and Therapeutic Interventions Using an Automatic and Distributed Artificial Intelligence System | October 2020 | September 2023 | Allow | 35 | 0 | 0 | No | No |
| 17068134 | METHOD AND SYSTEM FOR VISUALIZATION OF HEART TISSUE AT RISK | October 2020 | July 2023 | Allow | 33 | 2 | 0 | Yes | No |
| 17067585 | MONITORING AMBIENT LIGHT FOR OBJECT DETECTION | October 2020 | October 2022 | Allow | 24 | 2 | 0 | Yes | No |
| 17067450 | METHODS AND APPARATUS TO PERFORM SYMBOL-BASED WATERMARK DETECTION | October 2020 | July 2022 | Allow | 21 | 1 | 0 | No | No |
| 17063033 | AUTOMATICALLY UPDATING A CARD-SCAN MACHINE LEARNING MODEL BASED ON PREDICTING CARD CHARACTERS | October 2020 | February 2024 | Allow | 41 | 1 | 0 | Yes | No |
| 17031010 | METHODS AND SYSTEMS FOR ANALYZING BRAIN LESIONS WITH LONGITUDINAL 3D MRI DATA | September 2020 | February 2023 | Allow | 29 | 1 | 0 | Yes | No |
| 17022516 | ELECTRONIC APPARATUS AND CONTROLLING METHOD THEREOF | September 2020 | May 2022 | Allow | 20 | 1 | 0 | No | No |
| 17011317 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM | September 2020 | April 2022 | Allow | 20 | 1 | 0 | No | No |
| 17005257 | Imaging System and Method for Assessing Wounds | August 2020 | July 2021 | Allow | 11 | 2 | 0 | No | No |
| 16997909 | COMPUTER-IMPLEMENTED METHOD FOR THE RECONSTRUCTION OF MEDICAL IMAGE DATA | August 2020 | July 2022 | Allow | 23 | 1 | 0 | No | No |
| 16970493 | REGISTRATION TOOLS, SYSTEMS, AND METHODS | August 2020 | November 2020 | Allow | 3 | 0 | 0 | No | No |
| 16993322 | SYSTEM AND METHOD FOR IMAGE-BASED OBJECT MODELING USING MULTIPLE IMAGE ACQUISITIONS OR RECONSTRUCTIONS | August 2020 | July 2022 | Allow | 23 | 1 | 0 | No | No |
| 16988536 | TEMPLATE-BASED KEY-VALUE EXTRACTION FOR INFERRING OCR KEY VALUES WITHIN FORM IMAGES | August 2020 | July 2022 | Allow | 23 | 1 | 0 | Yes | No |
| 16640303 | PREDICTING THE RISK OF DEATH OR VASOSPASM IN A PATIENT WITH A SUBARACHNOID HEMORRHAGE | July 2020 | January 2022 | Allow | 23 | 1 | 0 | Yes | No |
| 16941349 | DOCUMENT INFORMATION EXTRACTION FOR COMPUTER MANIPULATION | July 2020 | July 2022 | Allow | 24 | 2 | 0 | No | No |
| 16932281 | SYSTEM, COMPUTER-READABLE STORAGE MEDIUM AND METHOD OF DEEP LEARNING OF TEXTURE IN SHORT TIME SERIES | July 2020 | December 2020 | Allow | 10 | 1 | 0 | No | No |
| 16930793 | EVALUATION ASSISTANCE METHOD, EVALUATION ASSISTANCE SYSTEM, AND COMPUTER-READABLE MEDIUM | July 2020 | April 2022 | Allow | 21 | 1 | 0 | No | No |
| 16922099 | SIMILAR CASE RETRIEVAL APPARATUS, SIMILAR CASE RETRIEVAL METHOD, NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM, SIMILAR CASE RETRIEVAL SYSTEM, AND CASE DATABASE | July 2020 | October 2022 | Allow | 27 | 2 | 0 | Yes | No |
| 16909014 | METHOD AND DEVICE FOR HEADING ESTIMATION | June 2020 | February 2023 | Allow | 32 | 4 | 0 | Yes | No |
| 16909907 | MONOCULAR DEPTH SUPERVISION FROM 3D BOUNDING BOXES | June 2020 | April 2022 | Allow | 21 | 2 | 0 | Yes | No |
| 16905978 | DOCUMENT CLASSIFICATION SYSTEM AND NON-TRANSITORY COMPUTER READABLE RECORDING MEDIUM STORING DOCUMENT CLASSIFICATION PROGRAM | June 2020 | December 2022 | Allow | 30 | 3 | 0 | No | No |
| 16901306 | MEDICAL DIAGNOSTIC IMAGING SUPPORT SYSTEM, MEDICAL IMAGE PROCESSING DEVICE, AND MEDICAL IMAGE PROCESSING METHOD | June 2020 | July 2022 | Allow | 25 | 1 | 0 | No | No |
| 16900629 | SYSTEM AND METHOD FOR COMPONENT POSITIONING BY REGISTERING A 3D PATIENT MODEL TO AN INTRA-OPERATIVE IMAGE | June 2020 | February 2021 | Allow | 8 | 0 | 1 | No | No |
| 16897684 | SYSTEM OF DEPTH ESTIMATION AND METHOD THEREOF | June 2020 | April 2022 | Allow | 22 | 1 | 0 | No | No |
| 16898419 | SYSTEMS AND METHODS FOR IMAGE DATA ACQUISITION | June 2020 | June 2022 | Allow | 25 | 1 | 0 | No | No |
| 16887494 | MEDICAL IMAGE PROCESSING APPARATUS AND MEDICAL IMAGE PROCESSING METHOD | May 2020 | May 2022 | Allow | 24 | 1 | 0 | No | No |
| 16885448 | CELL IDENTIFICATION SYSTEM AND CELL IDENTIFICATION METHOD | May 2020 | July 2022 | Allow | 25 | 1 | 0 | No | No |
| 16766123 | SYSTEM, METHOD AND COMPUTER-ACCESSIBLE MEDIUM FOR CLASSIFYING BREAST TISSUE USING A CONVOLUTIONAL NEURAL NETWORK | May 2020 | August 2023 | Abandon | 38 | 2 | 0 | No | No |
| 16874370 | SEGMENTATION OF STRUCTURES FOR STATE DETERMINATION | May 2020 | December 2021 | Allow | 19 | 0 | 0 | No | No |
| 16870948 | SYSTEMS AND METHODS FOR IMAGE CORRECTION | May 2020 | November 2022 | Allow | 30 | 2 | 0 | No | No |
| 15733058 | SYSTEM AND METHOD FOR QUANTIFICATION OF TISSUE OVER TIME | May 2020 | August 2023 | Abandon | 39 | 2 | 0 | No | No |
| 16760443 | DEVICE FOR HOLDING X-RAY FILMS | April 2020 | February 2022 | Allow | 22 | 1 | 0 | No | No |
| 16857638 | IDENTIFICATION AND VALIDATION OF ROADS USING AERIAL IMAGERY AND MOBILE LOCATION INFORMATION | April 2020 | February 2021 | Allow | 10 | 2 | 0 | No | No |
| 16757362 | FERTILE OVUM QUALITY EVALUATION METHOD, FERTILE OVUM QUALITY EVALUATION SYSTEM, PROGRAM, AND INFORMATION PROCESSING APPARATUS | April 2020 | January 2022 | Allow | 21 | 1 | 0 | No | No |
| 16757073 | Scatter Correction Method and Apparatus for Dental Cone-Beam CT | April 2020 | March 2022 | Allow | 23 | 1 | 0 | No | No |
| 16757224 | A METHOD, COMPUTER PROGRAM PRODUCT AND COMPUTER SYSTEM FOR CORRECTING A CT IMAGE | April 2020 | May 2021 | Allow | 13 | 0 | 0 | No | No |
| 16852248 | System and Method for Extracting Target Data from Labels | April 2020 | August 2023 | Allow | 40 | 4 | 0 | No | No |
| 16847269 | SYSTEMS AND METHODS OF PROCESSING UNDELIVERABLE DELIVERY ITEMS | April 2020 | April 2022 | Allow | 24 | 2 | 0 | No | No |
| 16846205 | SYSTEM AND METHOD FOR LARGE-SCALE LANE MARKING DETECTION USING MULTIMODAL SENSOR DATA | April 2020 | October 2022 | Allow | 30 | 2 | 0 | No | No |
| 16845788 | ASSESSMENT OF SPINAL COLUMN INTEGRITY | April 2020 | April 2022 | Allow | 24 | 1 | 0 | No | No |
| 16845111 | RISK PREDICTION FOR SUDDEN CARDIAC DEATH FROM IMAGE DERIVED CARDIAC MOTION AND STRUCTURE FEATURES | April 2020 | April 2022 | Allow | 24 | 1 | 0 | No | No |
| 16754962 | ELECTRONIC DEVICE AND CONTROL METHOD THEREOF | April 2020 | February 2022 | Allow | 22 | 2 | 0 | No | No |
| 16754988 | DEPTH-AWARE OBJECT COUNTING | April 2020 | October 2021 | Allow | 19 | 1 | 0 | Yes | No |
| 16840441 | METHOD AND SYSTEM FOR AUTOMATICALLY DELINEATING STRIATUM IN NUCLEAR MEDICINE BRAIN IMAGE AND CALCULATING SPECIFIC UPTAKE RATIO OF STRIATUM | April 2020 | June 2021 | Allow | 14 | 0 | 0 | No | No |
| 16839381 | Hinge Detection For Orthopedic Fixation | April 2020 | November 2021 | Allow | 20 | 0 | 0 | No | No |
| 16838014 | Structure Correcting Adversarial Network for Chest X-Rays Organ Segmentation | April 2020 | January 2022 | Allow | 21 | 1 | 0 | No | No |
| 16837954 | VISION AND GEOMETRIC APPROACHES TO DETECT DEFECTS IN DENTAL APPLIANCES | April 2020 | November 2021 | Allow | 20 | 0 | 0 | No | No |
| 16837801 | SYSTEM AND METHOD FOR FLOW-RESOLVED THREE-DIMENSIONAL IMAGING | April 2020 | March 2022 | Allow | 24 | 1 | 0 | No | No |
| 16835609 | AGE-SPECIFIC IMAGE ATLAS | March 2020 | March 2022 | Allow | 24 | 1 | 0 | No | No |
| 16650973 | FLATTENED VIEW FOR INTRA-LUMENAL NAVIGATION | March 2020 | November 2021 | Allow | 19 | 1 | 0 | No | No |
| 16830497 | SYSTEMS AND METHODS FOR WEIGHT MEASUREMENT FROM USER PHOTOS USING DEEP LEARNING NETWORKS | March 2020 | February 2021 | Allow | 11 | 2 | 0 | No | No |
| 16829300 | BRANCH-AND-BOUND SEARCH ALGORITHM FOR 4D CAMERA LOCALIZATION | March 2020 | April 2022 | Allow | 25 | 1 | 0 | Yes | No |
| 16827701 | ADDITIVE MANUFACTURING PART AUTHENTICATION SYSTEM AND METHOD | March 2020 | November 2022 | Abandon | 32 | 2 | 0 | No | No |
| 16826168 | Artificial Intelligence-Based Sequencing | March 2020 | April 2022 | Allow | 25 | 1 | 0 | Yes | No |
| 16819866 | EXPLAINABLE AI (XAI) PLATFORM FOR COMPUTATIONAL PATHOLOGY | March 2020 | February 2022 | Allow | 23 | 1 | 0 | No | No |
| 16817402 | MULTI-COIL MAGNETIC RESONANCE IMAGING USING DEEP LEARNING | March 2020 | January 2022 | Allow | 22 | 1 | 0 | No | No |
| 16812443 | INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING METHOD, AND PROGRAM | March 2020 | November 2022 | Allow | 33 | 1 | 0 | Yes | No |
| 16811712 | X-RAY DIAGNOSTIC APPARATUS | March 2020 | January 2022 | Allow | 23 | 1 | 0 | No | No |
| 16810638 | METHODS AND SYSTEMS FOR SCATTER CORRECTION | March 2020 | October 2021 | Allow | 20 | 1 | 0 | No | No |
| 16808534 | SYSTEMS AND METHODS FOR IMAGE PROCESSING | March 2020 | July 2022 | Allow | 28 | 2 | 0 | No | No |
| 16799915 | SYSTEM AND METHOD FOR MOTION SIGNAL RECALIBRATION | February 2020 | March 2022 | Allow | 25 | 2 | 0 | Yes | No |
| 16778649 | REFLECTION REFUTING LASER SCANNER | January 2020 | August 2021 | Allow | 19 | 1 | 0 | No | No |
| 16775379 | MEDICAL IMAGE PROCESSING APPARATUS, MEDICAL IMAGE PROCESSING METHOD, AND SYSTEM | January 2020 | September 2023 | Abandon | 43 | 2 | 0 | No | Yes |
| 16618552 | Method and System for Indexing Blood Vessel Corresponding Positional Relations in Multi-Angle Angiography | January 2020 | June 2021 | Allow | 19 | 1 | 0 | Yes | No |
| 16633721 | METHOD FOR DETERMINING AT LEAST ONE PARAMETER ASSOCIATED WITH AN OPHTHALMIC DEVICE | January 2020 | June 2021 | Allow | 17 | 1 | 0 | No | No |
| 16750869 | METHOD AND APPARATUS FOR GENERATING DENTAL DATA SUITABLE FOR MANUFACTURING A DENTAL ALIGNER | January 2020 | September 2022 | Allow | 32 | 1 | 0 | No | No |
| 16746135 | METHOD FOR IDENTIFICATION AND QUANTIFICATION OF TISSUE CALCIFICATION | January 2020 | January 2022 | Allow | 24 | 1 | 0 | No | No |
| 16744295 | Motion Correction of Angiography Images for 3D Reconstruction of Coronary Arteries | January 2020 | August 2021 | Allow | 19 | 1 | 0 | No | No |
| 16743972 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM | January 2020 | October 2021 | Allow | 21 | 1 | 0 | Yes | No |
| 16744081 | NORMALIZATION AND ENHANCEMENT OF MRI BRAIN IMAGES USING MULTISCALE FILTERING | January 2020 | June 2022 | Abandon | 29 | 1 | 0 | No | No |
| 16630919 | FETAL ULTRASOUND IMAGE PROCESSING | January 2020 | January 2022 | Allow | 24 | 1 | 0 | Yes | No |
| 16630284 | METHOD, DEVICE AND COMPUTER PROGRAM FOR CAPTURING OPTICAL IMAGE DATA OF PATIENT SURROUNDINGS AND FOR IDENTIFYING A PATIENT CHECK-UP | January 2020 | February 2023 | Allow | 37 | 2 | 0 | Yes | No |
| 16726780 | COMMODITY RECOGNITION APPARATUS | December 2019 | August 2021 | Allow | 20 | 1 | 0 | No | No |
| 16724016 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND COMPUTER READABLE RECORDING MEDIUM | December 2019 | January 2022 | Allow | 25 | 1 | 0 | Yes | No |
| 16722751 | BRAIN TUMOR IMAGE SEGMENTATION METHOD, DEVICE AND STORAGE MEDIUM | December 2019 | November 2021 | Allow | 23 | 0 | 0 | No | No |
| 16719905 | METHOD AND APPARATUS FOR PREDICTING CELL REPROGRAMMING | December 2019 | July 2021 | Allow | 19 | 2 | 0 | No | No |
| 16623660 | ANALYSIS OF MEDICAL IMAGES | December 2019 | August 2023 | Allow | 44 | 5 | 0 | Yes | No |
| 16623346 | METHOD FOR DETECTION AND QUANTIFICATION OF ARTERIAL CALCIFICATION | December 2019 | September 2021 | Allow | 21 | 1 | 0 | No | No |
| 16712905 | Systems and Methods for Determining Patient Compliance with an Orthodontic Device | December 2019 | January 2022 | Allow | 25 | 1 | 0 | No | No |
| 16622162 | SYSTEM, METHOD AND COMPUTER-ACCESSIBLE MEDIUM FOR ULTRALOW DOSE COMPUTED TOMOGRAPHY IMAGE RECONSTRUCTION | December 2019 | October 2021 | Allow | 22 | 2 | 0 | No | No |
| 16710707 | Techniques For Patient-Specific Morphing Of Virtual Boundaries | December 2019 | September 2022 | Allow | 33 | 2 | 0 | No | No |
| 16705844 | SYSTEMS AND METHODS FOR PULMONARY VENTILATION FROM IMAGE PROCESSING | December 2019 | January 2022 | Allow | 26 | 2 | 0 | No | No |
| 16619481 | MEDICAL IMAGING SYSTEM, METHOD AND COMPUTER PROGRAM PRODUCT | December 2019 | May 2023 | Abandon | 41 | 3 | 0 | Yes | No |
| 16617882 | AUTOMATED LESION DETECTION, SEGMENTATION, AND LONGITUDINAL IDENTIFICATION | November 2019 | November 2021 | Abandon | 23 | 1 | 0 | No | No |
| 16613179 | METHOD AND SYSTEM FOR DETECTING AND ANALYZING MUCOSA OF DIGESTIVE TRACT | November 2019 | September 2021 | Allow | 23 | 1 | 0 | No | No |
| 16681831 | PRIORITY JUDGEMENT DEVICE, METHOD, AND PROGRAM | November 2019 | September 2022 | Allow | 34 | 2 | 0 | Yes | No |
This analysis examines appeal outcomes and the strategic value of filing appeals for examiner MISTRY, ONEAL R.
With a 33.3% reversal rate, the PTAB reverses the examiner's rejections in a meaningful percentage of cases. This reversal rate is above the USPTO average, indicating that appeals have better success here than typical.
Filing a Notice of Appeal can sometimes lead to allowance even before the appeal is fully briefed or decided by the PTAB. This occurs when the examiner or their supervisor reconsiders the rejection during the mandatory appeal conference (MPEP § 1207.01) after the appeal is filed.
In this dataset, 50.0% of applications that filed an appeal were subsequently allowed. This appeal filing benefit rate is in the top 25% across the USPTO, indicating that filing appeals is particularly effective here. The act of filing often prompts favorable reconsideration during the mandatory appeal conference.
✓ Appeals to PTAB show good success rates. If you have a strong case on the merits, consider fully prosecuting the appeal to a Board decision.
✓ Filing a Notice of Appeal is strategically valuable. The act of filing often prompts favorable reconsideration during the mandatory appeal conference.
Examiner MISTRY, ONEAL R works in Art Unit 2664 and has examined 328 patent applications in our dataset. With an allowance rate of 88.4%, this examiner has an above-average tendency to allow applications. Applications typically reach final disposition in approximately 23 months.
Examiner MISTRY, ONEAL R's allowance rate of 88.4% places them in the 70% percentile among all USPTO examiners. This examiner has an above-average tendency to allow applications.
On average, applications examined by MISTRY, ONEAL R receive 1.43 office actions before reaching final disposition. This places the examiner in the 20% percentile for office actions issued. This examiner issues significantly fewer office actions than most examiners.
The median time to disposition (half-life) for applications examined by MISTRY, ONEAL R is 23 months. This places the examiner in the 84% percentile for prosecution speed. Applications move through prosecution relatively quickly with this examiner.
Conducting an examiner interview provides a +9.7% benefit to allowance rate for applications examined by MISTRY, ONEAL R. This interview benefit is in the 42% percentile among all examiners. Recommendation: Interviews provide a below-average benefit with this examiner.
When applicants file an RCE with this examiner, 41.1% of applications are subsequently allowed. This success rate is in the 92% 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 29.2% of cases where such amendments are filed. This entry rate is in the 43% 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 request a pre-appeal conference (PAC) with this examiner, 0.0% result in withdrawal of the rejection or reopening of prosecution. This success rate is in the 11% percentile among all examiners. Note: Pre-appeal conferences show limited success with this examiner compared to others. While still worth considering, be prepared to proceed with a full appeal brief if the PAC does not result in favorable action.
This examiner withdraws rejections or reopens prosecution in 57.1% of appeals filed. This is in the 31% percentile among all examiners. Of these withdrawals, 25.0% occur early in the appeal process (after Notice of Appeal but before Appeal Brief). Strategic Insight: This examiner shows below-average willingness to reconsider rejections during appeals. Be prepared to fully prosecute appeals if filed.
When applicants file petitions regarding this examiner's actions, 76.6% are granted (fully or in part). This grant rate is in the 81% 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.