Detailed information about the 100 most recent patent applications.
| Application Number | Title | Filing Date | Disposal Date | Disposition | Time (months) | Office Actions | Restrictions | Interview | Appeal |
|---|---|---|---|---|---|---|---|---|---|
| 17247786 | IDENTIFYING SUBJECT MATTER OF A DIGITAL IMAGE | December 2020 | August 2023 | Allow | 31 | 1 | 0 | Yes | No |
| 17116529 | SYSTEMS AND METHODS FOR LESION ANALYSIS | December 2020 | August 2021 | Allow | 8 | 1 | 0 | No | No |
| 17111508 | INFORMATION PROCESSING SYSTEM TO OBTAIN AND MANAGE IMAGES OF A PROPERTY | December 2020 | July 2023 | Allow | 31 | 2 | 0 | Yes | No |
| 17111545 | MACHINE LEARNING BASED PROCESSING OF MAGNETIC RESONANCE DATA, INCLUDING AN UNCERTAINTY QUANTIFICATION | December 2020 | January 2024 | Allow | 60 | 2 | 0 | Yes | No |
| 17106927 | SYSTEMS AND METHODS FOR LESION ANALYSIS | November 2020 | July 2021 | Allow | 7 | 1 | 0 | Yes | No |
| 17104659 | METHOD AND APPARATUS FOR DETERMINING MID-SAGITTAL PLANE IN MAGNETIC RESONANCE IMAGES | November 2020 | June 2023 | Allow | 30 | 1 | 0 | No | No |
| 17093488 | METHOD OF MONITORING A SURFACE FEATURE AND APPARATUS THEREFOR | November 2020 | June 2023 | Abandon | 31 | 1 | 0 | No | No |
| 17083074 | DEEP LEARNING BASED MAGNETIC RESONANCE IMAGING (MRI) EXAMINATION ACCELERATION | October 2020 | October 2023 | Allow | 36 | 2 | 0 | No | No |
| 17072424 | MACHINE LEARNING FROM NOISY LABELS FOR ABNORMALITY ASSESSMENT IN MEDICAL IMAGING | October 2020 | July 2023 | Allow | 33 | 2 | 0 | No | No |
| 17014532 | SYSTEMS AND METHODS FOR PROCESSING IMAGES OF SLIDES FOR DIGITAL PATHOLOGY | September 2020 | October 2022 | Allow | 26 | 6 | 0 | Yes | No |
| 17004073 | Computer Implemented Method for Estimating Lung Perfusion from Thoracic Computed Tomography Images | August 2020 | August 2023 | Allow | 35 | 2 | 0 | Yes | No |
| 17001524 | MULTI-TASK LEARNING FOR DENSE OBJECT DETECTION | August 2020 | May 2021 | Allow | 8 | 1 | 0 | Yes | No |
| 16947532 | RETINAL IMAGE CAPTURING | August 2020 | August 2023 | Allow | 36 | 2 | 0 | Yes | No |
| 16966197 | NON INVASIVE PROCESS FOR THE EVALUATION OF THE QUALITY OF INTERNAL DENSE CONNECTIVE TISSUES | July 2020 | February 2024 | Allow | 43 | 2 | 0 | No | No |
| 16963408 | METHOD FOR RECONSTRUCTING SERIES OF SLICE IMAGES AND APPARATUS USING SAME | July 2020 | July 2023 | Allow | 36 | 3 | 0 | No | No |
| 16828977 | INFORMATION PROCESSING SYSTEM TO OBTAIN AND MANAGE IMAGES OF A PROPERTY | March 2020 | July 2023 | Allow | 40 | 2 | 0 | No | No |
| 16812013 | FLUORESCENCE VIDEOSTROBOSCOPY OF VOCAL CORDS | March 2020 | March 2023 | Allow | 36 | 1 | 0 | Yes | No |
| 16806689 | SYSTEMS AND METHODS FOR REDUCING COLORED NOISE IN MEDICAL IMAGES USING DEEP NEURAL NETWORK | March 2020 | May 2023 | Allow | 39 | 2 | 0 | Yes | No |
| 16790989 | Aortic-Valve Replacement Annotation Using 3D Images | February 2020 | October 2023 | Abandon | 44 | 3 | 0 | No | No |
| 16774116 | MEDICAL INFORMATION PROCESSING APPARATUS, MAGNETIC RESONANCE IMAGING APPARATUS, AND MEDICAL INFORMATION PROCESSING METHOD | January 2020 | February 2022 | Allow | 24 | 1 | 0 | No | No |
| 16744046 | METHODS FOR TRAINING A BREAST CANCER SCREENING MODEL VIA THERMOGRAPHIC IMAGE PROCESSING AND THERMAL BREAST SIMULATION | January 2020 | October 2022 | Abandon | 33 | 1 | 0 | No | No |
| 16485961 | Cell Evaluation Method, Cell Evaluation Device, and Recording Medium Storing Cell Evaluation Program | January 2020 | April 2022 | Allow | 32 | 1 | 0 | No | No |
| 16724192 | SYSTEM AND METHOD FOR AUTOMATIC SEGMENTATION OF MUSCLES FROM HIGH-RESOLUTION MRI USING 3D DEEP CONVOLUTIONAL NEURAL NETWORK | December 2019 | August 2022 | Allow | 32 | 1 | 0 | Yes | No |
| 16621800 | SYSTEMS AND METHODS FOR INTEGRATING TOMOGRAPHIC IMAGE RECONSTRUCTION AND RADIOMICS USING NEURAL NETWORKS | December 2019 | January 2021 | Allow | 13 | 0 | 0 | No | No |
| 16622101 | METHODS AND SYSTEMS FOR PROCESSING AN ULTRASOUND IMAGE | December 2019 | August 2022 | Allow | 32 | 1 | 0 | No | No |
| 16708486 | SYSTEM AND METHOD FOR THRESHOLDING FOR RESIDUAL CANCER CELL DETECTION | December 2019 | June 2023 | Allow | 42 | 2 | 0 | Yes | No |
| 15322441 | Multi-Algorithm-Based Face Recognition System and Method with Optimal Dataset Partitioning for a Cloud Environment | December 2019 | July 2022 | Allow | 60 | 1 | 0 | No | No |
| 16667526 | AUTOMATED ULTRASOUND EQUIPMENT AND METHODS USING ENHANCED NAVIGATOR AIDS | October 2019 | April 2022 | Allow | 30 | 1 | 0 | No | No |
| 16659545 | ASSESSING RISK OF BREAST CANCER RECURRENCE | October 2019 | November 2021 | Allow | 25 | 0 | 0 | No | No |
| 16552249 | System for detecting contrast in medical scans | August 2019 | October 2022 | Allow | 38 | 1 | 0 | No | No |
| 16544418 | SYSTEM AND METHOD FOR IMAGE DATA PROCESSING IN POSITRON EMISSION TOMOGRAPHY | August 2019 | January 2020 | Allow | 5 | 0 | 0 | Yes | No |
| 16505804 | Method for Processing Automobile Image Data, Apparatus, and Readable Storage Medium | July 2019 | July 2022 | Allow | 37 | 2 | 0 | Yes | No |
| 16460192 | METHOD FOR AUTOMATICALLY LABELING OBJECTS IN PAST FRAMES BASED ON OBJECT DETECTION OF A CURRENT FRAME FOR AUTONOMOUS DRIVING | July 2019 | March 2023 | Allow | 44 | 4 | 0 | Yes | No |
| 16452963 | System And Method For Detecting Retina Disease | June 2019 | September 2021 | Abandon | 27 | 2 | 1 | No | No |
| 16451207 | MEDICAL INFORMATION PROCESSING APPARATUS | June 2019 | September 2021 | Allow | 27 | 2 | 0 | Yes | No |
| 16468069 | METHOD OF SEGMENTING A 3D OBJECT IN A MEDICAL RADIATION IMAGE | June 2019 | September 2020 | Allow | 15 | 0 | 0 | No | No |
| 16429772 | AUTOMATIC DETECTING METHOD AND AUTOMATIC DETECTING APPARATUS USING THE SAME | June 2019 | August 2021 | Allow | 27 | 0 | 0 | Yes | No |
| 16463980 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD THEREFOR | May 2019 | October 2021 | Allow | 29 | 1 | 0 | Yes | No |
| 16420596 | DYNAMIC IMAGE PROCESSING APPARATUS AND RECORDING MEDIUM | May 2019 | June 2021 | Abandon | 25 | 1 | 0 | No | No |
| 16414542 | METHOD, APPARATUS, AND SYSTEM FOR TASK DRIVEN APPROACHES TO SUPER RESOLUTION | May 2019 | October 2021 | Allow | 29 | 1 | 0 | Yes | No |
| 16381700 | Gingival Tissue Former | April 2019 | October 2022 | Abandon | 42 | 1 | 1 | No | No |
| 16359838 | VOLUMETRIC DESCRIPTORS | March 2019 | July 2021 | Allow | 28 | 1 | 0 | Yes | No |
| 16354071 | METHOD AND APPARATUS FOR EXTRACTING LANE LINE AND COMPUTER READABLE STORAGE MEDIUM | March 2019 | December 2021 | Allow | 33 | 2 | 0 | No | No |
| 16330976 | ELECTRONIC DEVICE AND METHOD FOR PROCESSING MULTIPLE IMAGES | March 2019 | June 2021 | Allow | 27 | 2 | 0 | No | No |
| 16328904 | METHOD AND APPARATUS FOR CHECKOUT BASED ON IMAGE IDENTIFICATION TECHNIQUE OF CONVOLUTIONAL NEURAL NETWORK | February 2019 | September 2020 | Allow | 19 | 1 | 0 | No | No |
| 16282307 | INFORMATION PROCESSING APPARATUS AND NON-TRANSITORY COMPUTER READABLE MEDIUM | February 2019 | August 2021 | Allow | 30 | 1 | 0 | Yes | No |
| 16277505 | SYSTEM AND METHOD FOR INFERRING SCENES BASED ON VISUAL CONTEXT-FREE GRAMMAR MODEL | February 2019 | August 2022 | Abandon | 42 | 3 | 0 | No | No |
| 16268542 | RECEIPT PROCESSING APPARATUS, PROGRAM, AND REPORT PRODUCTION METHOD | February 2019 | November 2020 | Allow | 22 | 1 | 0 | No | No |
| 16261879 | FACE CONCEALMENT DETECTION | January 2019 | January 2021 | Allow | 23 | 1 | 0 | Yes | No |
| 16254760 | SYSTEM AND METHOD FOR DETECTING SCAN IRREGULARITIES AT SELF-CHECKOUT TERMINALS | January 2019 | June 2021 | Allow | 29 | 1 | 0 | No | No |
| 16252859 | METHOD OF DRUG APPROVAL USING MOTION VECTOR ANALYSIS | January 2019 | November 2019 | Allow | 10 | 0 | 0 | Yes | No |
| 16248803 | IMAGE ENHANCEMENT CIRCUIT AND METHOD THEREOF | January 2019 | June 2021 | Allow | 28 | 1 | 0 | No | No |
| 16317596 | SYSTEM AND METHOD FOR ESTIMATING SYNTHETIC QUANTITATIVE HEALTH VALUES FROM MEDICAL IMAGES | January 2019 | June 2021 | Allow | 29 | 1 | 0 | Yes | No |
| 16317634 | MAGNETIC RESONANCE SYSTEM AND METHOD FOR PRODUCING IMAGES | January 2019 | April 2021 | Allow | 27 | 1 | 0 | Yes | No |
| 16243153 | COMPONENT MOUNTING SYSTEM AND TRACE DATA ACQUISITION METHOD | January 2019 | December 2020 | Allow | 23 | 1 | 0 | Yes | No |
| 16213278 | ASSIGNING A SEMANTICALLY MEANINGFUL LABEL TO A DIGITAL IMAGE | December 2018 | November 2020 | Allow | 23 | 1 | 0 | Yes | No |
| 16305323 | AUTOMATIC IMAGE REGISTRATION OF SCANS FOR IMAGE-GUIDED SURGERY | November 2018 | October 2021 | Allow | 34 | 3 | 0 | Yes | No |
| 16193667 | RETINAL IMAGE CAPTURING | November 2018 | August 2019 | Allow | 9 | 2 | 0 | Yes | No |
| 16162512 | RADIOGRAPHIC IMAGE PROCESSING DEVICE, METHOD, AND RECORDING MEDIUM | October 2018 | January 2019 | Allow | 3 | 0 | 0 | No | No |
| 16152487 | ADVANCED COMPUTER-AIDED DIAGNOSIS OF LUNG NODULES | October 2018 | December 2020 | Allow | 27 | 1 | 0 | Yes | No |
| 16152185 | QUALITY OF MEDICAL IMAGES USING MULTI-CONTRAST AND DEEP LEARNING | October 2018 | August 2019 | Allow | 10 | 2 | 0 | Yes | No |
| 16130958 | ADAPTIVE CLASSIFICATION FOR WHOLE SLIDE TISSUE SEGMENTATION | September 2018 | September 2020 | Allow | 24 | 1 | 0 | Yes | No |
| 16028303 | GENERATION OF A DIGITAL 3D MODEL OF AN OBJECT BASED ON PREDICTING A SHAPE OF THE OBJECT | July 2018 | March 2019 | Allow | 9 | 1 | 0 | Yes | No |
| 16010949 | APPARATUS AND METHOD FOR VISUALIZING ANATOMICAL ELEMENTS IN A MEDICAL IMAGE | June 2018 | June 2020 | Abandon | 24 | 5 | 0 | No | No |
| 15980498 | RETINAL IMAGE CAPTURING | May 2018 | October 2018 | Allow | 5 | 1 | 0 | Yes | No |
| 15948927 | IMAGE CAPTURE WITH PRIVACY PROTECTION | April 2018 | September 2020 | Allow | 29 | 1 | 0 | No | No |
| 15944159 | MEDICAL IMAGE PROCESSING APPARATUS, CONTROL METHOD THEREFOR, AND NON-TRANSITORY STORAGE MEDIUM STORING PROGRAM | April 2018 | October 2019 | Allow | 19 | 0 | 0 | Yes | No |
| 15938921 | METHOD OF MONITORING A SURFACE FEATURE AND APPARATUS THEREFOR | March 2018 | July 2020 | Allow | 27 | 0 | 0 | No | No |
| 15761891 | SYSTEM AND METHOD FOR DETECTING SUBLIMINAL FACIAL RESPONSES IN RESPONSE TO SUBLIMINAL STIMULI | March 2018 | February 2019 | Allow | 10 | 0 | 0 | Yes | No |
| 15923495 | PREDICTING PROSTATE CANCER RECURRENCE IN PRE-TREATMENT PROSTATE MAGNETIC RESONANCE IMAGING (MRI) WITH COMBINED TUMOR INDUCED ORGAN DISTENSION AND TUMOR RADIOMICS | March 2018 | September 2019 | Allow | 18 | 0 | 0 | Yes | No |
| 15922508 | PAPER SHEET HANDLING APPARATUS AND CORRECTION METHOD OF PAPER SHEET HANDLING APPARATUS | March 2018 | March 2022 | Abandon | 48 | 4 | 1 | No | No |
| 15922023 | METHOD AND DEVICE OF DETERMINING POSITION OF TARGET, TRACKING DEVICE AND TRACKING SYSTEM | March 2018 | June 2020 | Allow | 27 | 0 | 0 | No | No |
| 15919865 | PREDICTING BIOCHEMICAL RECURRENCE IN PRE-TREATMENT PROSTATE MAGNETIC RESONANCE IMAGING (MRI) WITH FIELD EFFECT INDUCED ORGAN DISTENSION (FORGE) | March 2018 | November 2019 | Allow | 20 | 0 | 0 | No | No |
| 15908894 | SKIN GLOSS EVALUATION DEVICE, SKIN GLOSS EVALUATION METHOD, AND SKIN GLOSS EVALUATION PROGRAM | March 2018 | July 2019 | Allow | 17 | 0 | 0 | Yes | No |
| 15909377 | MAPPING IMAGE DISPLAY CONTROL DEVICE, METHOD, AND PROGRAM | March 2018 | November 2019 | Allow | 21 | 1 | 0 | No | No |
| 15867786 | System for Predicting Computed Tomography Data from Surface Data | January 2018 | August 2019 | Allow | 19 | 0 | 0 | Yes | No |
| 15857383 | VECTOR DATA ENCODING OF HIGH DEFINITION MAP DATA FOR AUTONOMOUS VEHICLES | December 2017 | February 2019 | Allow | 14 | 1 | 0 | Yes | No |
| 15580478 | Object Recognition Device and Object Recognition System | December 2017 | September 2019 | Allow | 22 | 1 | 0 | Yes | No |
| 15832967 | MAGNETIC RESONANCE IMAGE RECONSTRUCTION WITH DEEP REINFORCEMENT LEARNING | December 2017 | October 2019 | Allow | 22 | 1 | 1 | Yes | No |
| 15729744 | INFORMATION PROCESSING SYSTEM TO OBTAIN AND MANAGE IMAGES OF A PROPERTY | October 2017 | January 2020 | Allow | 27 | 3 | 0 | Yes | No |
| 15565808 | PRODUCT MONITORING DEVICE, PRODUCT MONITORING SYSTEM, AND PRODUCT MONITORING METHOD | October 2017 | June 2019 | Allow | 20 | 2 | 0 | No | No |
| 15716650 | AUTOMATED BREAST ULTRASOUND EQUIPMENT AND METHODS USING ENHANCED NAVIGATOR AIDS | September 2017 | June 2019 | Allow | 21 | 0 | 0 | Yes | No |
| 15687473 | SYSTEM AND METHOD FOR IMAGE DATA PROCESSING IN POSITRON EMISSION TOMOGRAPHY | August 2017 | April 2019 | Allow | 20 | 0 | 0 | Yes | No |
| 15687272 | SEGMENTING AN ANGIOGRAPHY USING AN EXISTING THREE-DIMENSIONAL RECONSTRUCTION | August 2017 | September 2019 | Allow | 25 | 2 | 0 | Yes | No |
| 15634127 | DYNAMIC IMAGE AND IMAGE MARKER TRACKING | June 2017 | June 2019 | Allow | 24 | 1 | 0 | Yes | No |
| 15604041 | Method for Replacing the Blades of a Wind Turbine to Maintain Safe Operation | May 2017 | March 2019 | Allow | 22 | 1 | 0 | Yes | Yes |
| 15596723 | INTRAVASCULAR ABSORBABLE STENT DETECTION AND DIAGNOSTIC METHODS AND SYSTEMS | May 2017 | November 2019 | Allow | 30 | 1 | 0 | No | No |
| 15475760 | Quality of Medical Images Using Multi-Contrast and Deep Learning | March 2017 | July 2018 | Allow | 16 | 0 | 0 | Yes | No |
| 15476562 | SYSTEM FOR TARGET MATERIAL DETECTION | March 2017 | December 2018 | Allow | 21 | 1 | 0 | No | No |
| 15474755 | Method and Device of Lane Departure Warning and Automobile Driving Assistance System | March 2017 | January 2019 | Allow | 21 | 0 | 0 | No | No |
| 15471093 | APPARATUS, METHOD, AND SYSTEM FOR CALCULATING DIAMETERS OF THREE-DIMENSIONAL MEDICAL IMAGING SUBJECT | March 2017 | August 2019 | Allow | 28 | 2 | 0 | Yes | No |
| 15514895 | RADIATION TOMOGRAPHY APPARATUS AND PROGRAM FOR CARDIAC-GATED IMAGING | March 2017 | October 2019 | Allow | 30 | 3 | 0 | Yes | No |
| 15470360 | Highly Integrated Annotation and Segmentation System for Medical Imaging | March 2017 | April 2019 | Allow | 25 | 2 | 0 | Yes | No |
| 15469148 | TISSUE IDENTIFICATION BY AN IMAGING SYSTEM USING COLOR INFORMATION | March 2017 | October 2019 | Allow | 31 | 2 | 0 | Yes | No |
| 15511267 | NOISE REDUCTION IN RADIATION IMAGE | March 2017 | November 2018 | Allow | 20 | 3 | 0 | No | No |
| 15455391 | METHODS AND SYSTEMS FOR MODEL DRIVEN MULTI-MODAL MEDICAL IMAGING | March 2017 | June 2019 | Allow | 27 | 2 | 0 | Yes | No |
| 15453500 | MULTI-PASS ADAPTIVE VOTING FOR NUCLEI DETECTION IN HISTOPATHOLOGICAL IMAGES | March 2017 | January 2019 | Allow | 22 | 0 | 0 | Yes | No |
| 15453229 | Method and System for Extracting Centerline Representation of Vascular Structures in Medical Images Via Optimal Paths in Computational Flow Fields | March 2017 | December 2018 | Allow | 21 | 0 | 0 | No | No |
| 15444838 | SYSTEMS AND METHODS OF STENT IMAGE ENHANCEMENT | February 2017 | July 2019 | Allow | 29 | 2 | 0 | No | No |
| 15441086 | DEVICE FOR MEASURING POSITION AND ORIENTATION OF IMAGING APPARATUS AND METHOD THEREFOR | February 2017 | January 2020 | Allow | 34 | 3 | 0 | Yes | No |
This analysis examines appeal outcomes and the strategic value of filing appeals for examiner BEG, SAMAH A.
With a 100.0% reversal rate, the PTAB has reversed the examiner's rejections more often than affirming them. This reversal rate is in the top 25% across the USPTO, indicating that appeals are more successful here than in most other areas.
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 BEG, SAMAH A works in Art Unit 2668 and has examined 260 patent applications in our dataset. With an allowance rate of 75.0%, this examiner has a below-average tendency to allow applications. Applications typically reach final disposition in approximately 27 months.
Examiner BEG, SAMAH A's allowance rate of 75.0% places them in the 42% percentile among all USPTO examiners. This examiner has a below-average tendency to allow applications.
On average, applications examined by BEG, SAMAH A receive 1.69 office actions before reaching final disposition. This places the examiner in the 32% 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 BEG, SAMAH A is 27 months. This places the examiner in the 71% percentile for prosecution speed. Prosecution timelines are slightly faster than average with this examiner.
Conducting an examiner interview provides a +37.4% benefit to allowance rate for applications examined by BEG, SAMAH A. This interview benefit is in the 84% percentile among all examiners. Recommendation: Interviews are highly effective with this examiner and should be strongly considered as a prosecution strategy. Per MPEP § 713.10, interviews are available at any time before the Notice of Allowance is mailed or jurisdiction transfers to the PTAB.
When applicants file an RCE with this examiner, 28.6% of applications are subsequently allowed. This success rate is in the 55% percentile among all examiners. Strategic Insight: RCEs show above-average effectiveness with this examiner. Consider whether your amendments or new arguments are strong enough to warrant an RCE versus filing a continuation.
This examiner enters after-final amendments leading to allowance in 43.7% of cases where such amendments are filed. This entry rate is in the 68% percentile among all examiners. Strategic Recommendation: This examiner shows above-average receptiveness to after-final amendments. If your amendments clearly overcome the rejections and do not raise new issues, consider filing after-final amendments before resorting to an RCE.
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 66.7% of appeals filed. This is in the 50% percentile among all examiners. Of these withdrawals, 50.0% 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, 58.1% are granted (fully or in part). This grant rate is in the 59% percentile among all examiners. Strategic Note: Petitions show above-average success regarding this examiner's actions. Petitionable matters include restriction requirements (MPEP § 1002.02(c)(2)) and various procedural issues.
Examiner's Amendments: This examiner makes examiner's amendments in 0.4% of allowed cases (in the 56% percentile). This examiner makes examiner's amendments more often than average to place applications in condition for allowance (MPEP § 1302.04).
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.